An analysis of the annual accounts of highway firms in Italy applying a comparative approach through
income and financial margins assessments
di Giuseppe Bonazzi (University of Parma), Paolo Camanzi (statutory auditor,
co-founder and CEO of analisiaziendale.it) e Mattia Iotti (University of Parma)
Pubblicato sul "Research Journal of Applied Sciences", Medwell Journals, Year 2016, Volume 11, Issue 6,
Page N. 267-280, disponibile dal mese di luglio 2016.
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Features of the highway sector are ripe for analysis, given that this sector is characterized by entry barriers
caused by the necessity of investments in the realization of highway networks and for firms to be able to participate
in tenders and concessions. These large investments limit the number of potential companies entering the sector,
promote the formation of oligopolies and industry concentration, and create a need for frequent state intervention
to regulate the sector. In addition, the sector manages, in Italy and in other European countries, major routes of
transfer for people and goods, and as such the functioning of the sector is crucial to the transport systems in these
countries and to the development of their economies.
In addition, the study of the sector is important when analyzing the profitability of companies in connection with
their investments in maintenance and modernization of highways, as such an analysis provides an indicator of a proper
balance in the use of public concession instruments to provide and constantly maintain highway services for communities.
In this vein, it must also be noted that given the service revenues and profitability of the highway sector, at least
as far as the management and maintenance of highways, the sector does not provide for the use of public funds allocated
by the government. However, when overtime or extensive work is agreed upon (for example, the construction of a third or
fourth lane on a specific route or the development of a new stretch of highway), there has been a reduction in public
aid over time in recent years in favor of new forms of financing. For example, the construction of the
Brescia–Bergamo–Milan highway (the first example of a highway financed without charges to the state budget) was funded
in part by shareholders' equity and in part through a long-term financial loan by the Cassa Depositi e Prestiti, by the
European Investment Bank, and by other major Italian banks.
With regard to the financial results of the concessionaires, in 2012, revenues of firms amounted to 6.533 billion euro,
of which approximately 1.728 billion (over 25%) was transferred between state VAT (596 million) and ANAS fees (1.132
billion), that is, the premium on the rate used by the state for the maintenance of those networks; the remaining
4.805 billion went to dealerships. These values, divided by approximately 5,700 km, ensure that every kilometer of
highway in Italy allows annual revenues of approximately 1,150,000 euro (300,000 euro to the state and 850,000 to
dealerships). Toll revenues must be added to the revenues from sub-concessions and other activities undertaken by
highway companies, part of which (between 2% and 20%) is turned over to the state.
Over the past two decades, there has been an increase in revenues of 270%, from 2.5 billion euro in 1993 to 6.5
billion in 2012. To understand the specificity of the sector, it must be recognized that the history of the highway
sector in Italy began in April of 1922, when engineer Piero Puricelli developed the project of the Milano–Laghi highway,
an 84 km highway that seemed to have a stable customer base, as it offered a connection to the classic resorts of the
bourgeoisie of Milan. On December 1, 1922, the Società Anonima Autostrade di Milano was formed in Milan and obtained
a concession for the construction and operation of a highway between Milan and the Alpine lakes. This was the first
highway built in Italy. The highway concession included an obligation for the dealer to build roads and the ability
to calculate toll revenues. Grants to build and operate businesses in the highway sector were governed by Law 1137/1929,
which allowed for the responsibility of running public works, as well as municipalities and provinces, to be assigned
to private consortia. Through these concessions, businesses acquired the ability to build highways with partial
contributions from the state and to manage them for a specified period of time.
In 1928, the Azienda Autonoma Statale della Strada (AASS) was established and came to manage a road network of about
20,000 km in poor condition. In 1946, at the end of World War II, the AASS became the National Autonomous Company of
National Roads (Azienda Nazionale Autonoma delle Strade, or ANAS), which had the task of constructing and operating
new roads and highways, including through the provision of concessions to other institutions, public or private. ANAS
was established by Decree Law (DL) 38/1946, and DL 547/1948 subsequently entrusted it with the construction of new
highways directly or concession to public or private entities. This concession to public and private entities could
cover construction and management for only a period of time, thus determining the so-called concessions of highway
construction and operation.
In Italy, the construction of highway networks was initiated with DL 5477/1948. In 1950, the company Autostrade spa
was founded with limited shares and a majority public ownership, as the Institute for Industrial Reconstruction (IRI)
owned at least 51% of its capital. In 1956, the first agreement for the construction and operation of the
Milan–Rome–Naples route was signed, and later of other routes, which in some cases had previously been managed by ANAS.
DL 463/1955 fixed a maximum concession duration of 30 years. The financing of highways was established to be 60% by the
dealer and no more than 40% by the state. The subsequent DL 287/1971 states that the sole purpose of highway
concessionaires is the construction and operation of activities on licensed highways. The same act also provides that
loans contracted for the construction of new works by concessionaires under public scrutiny are guaranteed by the state
for the repayment of the principal and for interest payments until the full amount of the total investment for the
construction of works is recouped, deducting the state's contribution.
The instrument through which the state operates this warranty is the Central Guarantee Fund (FCG) for highways, which
was established in 1968. With DL 287/1971 regarding the renewal of concessions, rules for all concessionaires were
standardized, and each held the title for only its own concessions. With the renewal of agreements with all
concessionaires, the issuance of licenses for the construction of highways was suspended; in fact, this suspension was
established by DL 492/1975, following which no more highway concessionaires were created, and the work performed by
existing companies focused only on adjustments such as additional lanes, fittings, etc. and on infrastructure projects
necessitated by exceptional events. Only in 1999 did the IRI, through a public offering, put up for sale its stake in
Autostrade spa, and the Benetton group bought it with a majority. Then, in 2002, through a tender offer, it achieved an
absolute majority. The group Gavio, at the same time, purchased shares offered for sale by local governments, financial
intermediaries, and private entrepreneurs. Some public entities still remained shareholders of some concessionaires.
On December 19, 2002, ANAS approved new bylaws and appointed a board of directors and a supervisory board, and as of
January 1, 2003, it has been operating as a stock company. An attempt to grant a new set of concessions was carried
out by DL 286/2006, which established a "single agreement," including in a single text the concession agreements and
subsequent addenda adopted, which limited tariff increases as a function of actual investments. It also provided
innovative clauses under which, in the event of a persistent and serious breach, a concession could be terminated.
This attempt was thwarted, however, both in the courts and with complaints to the European Commission (EC), which led
to the initiation of infringement proceedings The EC infringement was then closed with single legal agreements signed in
2007, followed by the entry into force of DL 101/2008. A subsequent approval "en bloc" with agreements signed between
2009 and 2010 came with DL 191/2009.
Only indirectly is Directive 2014/23/EU, which entered into force on April 17, 2014, and whose transposition by member
states is expected by April 18, 2016, bound to affect the awarding of new concession contracts (directive concessions)
under this framework. DL 138/2002, converted into DL 178/2002, transformed ANAS into a stock company. In 2012, the
European highway network covered over 77,000 km, more than half distributed throughout Spain (14,701 km), Germany
(13,879 km), and France (11,412 km). Italy, with its 6,668 km, comprises about 8.5% of the European network. In 1970,
Europe had about 15,000 km of highways, and Italy, with its 3,913 km, represented more than 25% of the total highways,
second only to Germany (4,461 km). The Italian highway network, along with the German and French, experienced significant
growth in the seventies, which explains the slowdown of growth in recent years, more so than in countries such as Spain
and Portugal. However, unlike Germany and France, which maintained steady growth until at least the 2000s, the Italian
highway system underwent a sharp slowdown in its development in the 1980s and has remained virtually unchanged since.
This slowdown has had consequences in terms of congestion of the highway network, as measured by comparing the length
of the network and the percentage of cars moving today on Italian highways. If, in fact, the Italian highway network
currently comprises about 9% of the European network, it also comprises 15% of cars crossing the entire European highway
network, with a rate of highway density among the lowest in Europe, thus signaling problems of network congestion.
Italy, with 1.8 km of highway for every 10,000 cars, remains below the European average (3.4 km to 10,000 cars) and
far from the values of Spain (6.53), France (3.58), and Germany (2.99), thus highlighting the risks of congestion of
highway traffic not only above the European average but also with respect to only those countries with major highway
infrastructures (Spain, Germany, and France).
In 2014, the Italian highway network had an extension of 6,757.8 km (5,820 km under concession and the remaining under
the charge of ANAS) with a density of 22.4 km of highway per 1,000 km2 of Italian territory, for which there were 27
concessionaires. Autostrade per l'Italia now controls over 50% of the concessionary network. Along the network of
highways in Italy, there are four border tunnels (Mont Blanc, Brenner, Frejus, and St. Bernard) for a length of about
25 km, over 630 tunnels longer than 100 m, and 1,555 bridges and viaducts representing almost 20% of the entire network.
There are also 241 parking spaces, 485 stations for the collection of tolls, and over 4,000 ports. The concessionary
network is made up of 8,208 km of sound-absorbent pavement, 791 km of noise barriers, and 625 photovoltaic plants that
produce 12,279 MW per hour. Viability is ensured by 1,874 employees.
The Italian highway system has an extension lower than that of other types of transport, such as the rail network,
spanning almost 17,000 km, and the road network, spanning 30,000 km. However, because of its linking role and the
opportunity it affords private cars to travel over long distances, the highway network is the most used transport
infrastructure: It is estimated that half of all passengers rely on cars in 70% of cases; the percentage drops to
47% for freight transport. From the birth of the highway until 2010, highway traffic has shown steady growth due to
the increase in the number of cars present and improving socioeconomic conditions in Italy. This increase in highway
traffic has necessitated an increase in infrastructure, though the highway system has remained virtually unchanged since
the 1980s. According to the European Commission, in Italy in 2011, 94.2% of passenger traffic moved on wheels, as did
90% of freight traffic, well above the European average (91.4% for passenger traffic and 72.7% for freight), and its
economic size in 2009 was estimated at 3.1% of GDP.
2. Materials and methods
Annual accounts are the main documents used for external reporting. These are compulsory documents comprising a balance
sheet and an income statement, which is governed by the Italian Civil Code, Article 2423 et seq. The document is drawn
up by the board of directors of a company and submitted for approval to its shareholders. Financial statements were
amended into Italian legislation by the content of the Fourth Council Directive of 1978, which started the process of
unification at the European level in terms of financial statements. This process was part of the context of harmonization
of corporate legislation, initiated in 1968 with the adoption of the first community directive. The national legislature
implemented EEC Directives IV and VII with Legislative Decree n. 127 on April 9, 1991, with which community provisions
were transposed into national legislation via a radical alteration of the entire body of legislation relating to financial
statements of public companies, contained in the Civil Code.
Article 2423 of the Civil Code regulates financial statements as a whole, comprising balance sheets, income statements,
and notes. The second paragraph refers to a general clause regarding the preparation of financial statements, according
to which "the budget must be clearly stated and must represent a true and fair view of the assets and financial situation
of the company and the results of operations". This civil law introduced rigid mandatory schemes for the preparation of
balance sheets and income statements through Articles 2424 and 2425, respectively. The compulsory statutory scheme emerges
in the first paragraph of Article 2423-ter, which states that the items are further set in Articles 2424 and 2425.
However, this legislation allows further subdivisions or groupings, considering the obligation to add items not included
in the annual account where their content is not included in the statutory form.
Regarding the presentation format of the balance sheet, the legislation imposes a pattern of contrasting sections divided
into balance sheet assets, expressive of the investments made by the business entity, and balance sheet liabilities and
equity, expressive of sources financing the business. The model of the balance sheet was developed through the formation
of four to five homogeneous categories of items, active and passive, divided into further subcategories. The balance sheet
assets assume a classification of numbers based on the destination of investments, that is, based on the type of use for
which the investment is targeted in the management of the business. By contrast, balance sheet liabilities are classified
on the basis of the origins of sources of financing, that is, the parties who have made funds available for the financing
of units, divided first including equity and debt capital. The legislation then suggests a partial reclassification of
receivables and payables and the underlying maturity, distinguishing between funds maturing before and after 12 months,
the limit of which is conventionally referred to as being short, thus determining the time of realization of assets
(loans) and settlement of liabilities (debts or funding sources), that is, the time of conversion of the currency assets
and liabilities of the budget.
The balance sheet is further divided into macro classes. Macro class A is receivables from shareholders for capital
contributions. These are amounts due to shareholders by the company in fulfillment of the subscription of share capital;
the presence of this item shows the cases in which share capital is fully subscribed but paid only partially, and,
therefore, according to the principle of prudence, it is necessary to highlight any nonpayment, as that fact expresses a
reduction of share capital below the nominal value. Macro class B expresses fixed assets, divided into intangible,
tangible, and financial. Fixed assets are qualified by Article 2424-bis of the Civil Code: "assets intended for long-term
use" in the business cycle. Concerning the valuation of property (Article 2426), fixed asset "are stated at cost of
acquisition or production", and "the cost of fixed assets, tangible or intangible, whose use is limited in time must be
amortized each year over their estimated period of benefit".
Macro class C expresses current assets and is divided into four classes: inventories, accounts receivable, financial
assets other than fixed assets, and financial liquidity. Current assets express the complex of assets intended for use
in management of the current cycle. Finally, macro class D includes accrued and deferred charges. Proceeding in the
analysis of the balance sheet, the Civil Code has designated the passive section of the balance sheet for complex sources
of financing. Shareholders' equity comprises macro class A of the liabilities in the balance sheet and is formed by the
nominal value of share capital subscribed by the shareholders (even if not fully paid), reserves (clearly and singularly
indicated), and profit (or losses as a negative) for the year and carried forward. The provisions for risks and charges
are classified in macro class B to address risks and charges for a specific risk, notwithstanding the law creating generic
provisions for risks, and then only when the risk is certain or likely.
Macro class C of the balance sheet expresses termination indemnities paid to workers (called TFR in Italy, set aside
pursuant to Article 2120 of the Civil Code), debts accrued by the company with respect to employees, and amounts to be
paid to employees upon termination of employment, resignation, dismissal, or retirement. The passive macro class D of
the balance sheet expresses amounts due to third parties as sources of financing for the firm. Balance sheet liabilities
are classified on the basis of the origins of funding sources, with partial financial reclassification, in view of the
indication required by law of the amounts due after one year. Debts are divided into financial debts (such as bonds
and convertible bonds, amounts due to shareholders for loans, bank debts, and debts to other financial institutions) and
operating debts (such as down payments, accounts payable, and debt securities credit).
The legislation requires the provision of amounts owed to group companies but no further information regarding genesis
finances or operating costs (such as accounts payable to subsidiaries, affiliates, and parent companies). These are
provided for in the categories for taxes payable, such as tax liabilities and payables to social security. Finally, as
a residual item, other debts must be listed. Balance sheet liabilities are closed by passive macro class E, which
expresses accruals and deferred income. In our research, we apply the approach of annual account analysis used for the
agri-food sector with capital-intensive characteristics (Iotti and Bonazzi, 2015a) and have developed this approach using
the following balance sheet assets and liabilities:
In Equation (1), the left side expresses the total of the balance sheet and the total investment (TA); the right side
expresses the total liabilities and the total sources of financing (TS). On the left side, A represents receivables
from shareholders for capital contributions, Bfaint represents intangible fixed assets, Bfatan
represents tangible fixed assets, Bfafin represents financial fixed assets, and Bfaint +
Bfatan + Bfafin = BFA, where BFA represents the total investment in fixed assets.
Cwcar<12m represents working capital accounts receivable due within 12 months, Cwcar>12m represents
working capital accounts receivable due after 12 months, Cwco<12m represents working capital other credits
due within 12 months, Cwco>12m represents working capital other credits due after 12 months, Cwci
represents working capital inventories, Cwcql represents working capital invoices of near liquid financial
assets, Cl represents working capital liquidity, and D represents active accrued accruals and deferrals.
In Equation (1), on the right side, AEsc represents share capital, AEr represents reserves,
AΠ represents retained profit from previous years, AΠ represents net profit from the year, and
AEsc + AEsc + AΠ + AΠ - A = ET, where ET represents total shareholder capital,
namely equity. B represents provisions for risks and charges, and C represents termination indemnities paid to workers.
Df<12m represents financial debts due within 12 months, Df>12m represents financial debts due
after 12 months, Dwcap<12m represents accounts payable of working capital due within 12 months,
Dwcap>12m represents accounts payable of working capital due after 12 months, Dwco<12m represents
other working capital debts expiring within 12 months, and Dwco<12m represents other working capital debts
expiring after 12 months. For the purposes of our research, we have decided to express Equation (1) in functional form;
this form expresses the four major functions of the capital company: investments in fixed assets (BFA), investments or
financing with net working capital (NWC), investments or financing with net financial position (NFP), and financing
via equity (ET). We have expressed NWC as follows:
NWC = (Cwcar<12m+Cwcar>12m+Cwco<12m+
If NWC > 0, NWC absorbs financial resources and means that the operating cycle of investments has a duration greater
than zero. This expresses conventionally that the average duration of loans plus approximate stock duration less the
average duration of debts in working capital is greater than zero. NWC > 0 signifies a capital absorption, while
NWC < 0 signifies no generation of capital within the working capital cycle. NWC expresses the absorption of financial
resources through purchasing, transformation, and sales (Hill et al., 2010; Baños-Caballero et al., 2014; Darun et al.,
2015). NWC quantifies the resources created (NWC < 0) or absorbed (NWC > 0) within the working capital management cycle
(Love et al., 2007; Baños-Caballero et al., 2013). In Equation (2) B, C, and E are considered among the sources of
financing for NWC. To express the role of financial debt between the sources of funds, we then express NFP as follows:
|NFP = (Df<12m + Df>12m) - (Cwcql + Cl)
If is NFP < 0, NFP absorbs financial resources, which means that the firm has active financial resources plus financial
borrowing. If NFP > 0, the firm uses financial debt between the sources of funds and has active financial resources less
financial borrowing. Considering Equations (1), (2), and (3) as a set, we can express in Equation (4) the balance sheet
in strictly functional form, as follows:
In Equation (4), we have the hypothesis that BFA = 0, NWC = 0, NFP = 0, and ET = 0. This hypothesis is certainly verified
for BFA, which may have a minimum value equal to zero, and for ET, which if negative determines the failure of the
company. There are also three possible further ways to express Equation (4), namely BFA + NWC + NFP = ET, BFA = NWC +
NFP + ET, and BFA + NFP = NWC + ET. We express that BFA + NWC = NIC where NIC is net invested capital and NFP + ET = NTS
where NTS is net total source (of capital). We will use Equation (4) to analyze the balance sheets of the firms in the
sample. Again, Italian law requires the drafting, within the balance sheet, of income statements aiming to quantify the
result for the year in terms of net profit by the sum of positive and negative invoices. National law regulates that the
income statement be formatted vertically in order to make explicit some intermediate profit results. In accordance with
the principle of economic competence, the income statement is articulated in operational management areas.
Macro class A expresses the value of production as the value of production obtained by the firm, including not only
production from sales but also from transformation processes. The value of production is divided into five classes,
namely revenues from sales and services (A1), changes in inventories of works in progress and semifinished and finished
products (A2), changes in products made upon order (A3), increases in internal construction (A4), and other income (A5).
The production value is then added algebraically to the total cost of production, presented in macro class B, where the
cost of production is accounted on an accrual basis according to the nature of the cost, expressed in consumption of
factors of production. Production costs are divided into nine classes: costs for raw materials, supplies, consumables,
and goods (B6); service costs (B7); costs for use of third-party assets (B8); personnel costs (B9); depreciation and
amortization (B10); changes in inventories of raw materials, supplies, consumables, and goods (B11); provisions for risk
(B12); other accruals (B13); and other operating charges (B14).
The difference between value and cost of production, macro class A, unless B is designated for operating income or
earnings before interest and tax (EBIT), is defined as the balance of the current operations of the company. To determine
the cost of debt, that is, to determine how much capital the company has borrowed to finance its activities and to
quantify its possible financial income, the legislation requires the insertion of macro class C and loss accounts,
expressive of financial income and expenses. Macro class C includes income from equity investments (C15), other financial
income (C16), and interest and other financial expenses (C17) as well as gains and losses stemming from foreign currency
transactions (C17-bis). Additionally, Italian law has designated macro class D to be expressive of value adjustments of
financial assets. Macro class D is divided into classes for revaluations and write-downs. Revaluations are class D18,
and class D19 is write-downs of financial assets, including permanent loss of value.
Macro class E is expressive of extraordinary income and charges. The income statement form required by Italian law has
been used in this research, in which we also apply the approach to income statement analysis used for capital-intensive
characteristics of the agri-food sector (Iotti and Bonazzi, 2015a). In developing this approach, we have used the
following equation for income statements:
(S ± ΔCwci + Cp + Os) - (Mc + Sc + Rc +
+ Lc + Oc) = EBITDA
EBITDA - (Dc + Ac) = EBIT
EBIT + (ir - Ic) + (Rc - Dc) + (Xr - Xc) = ΠbT
ΠbT - T = Π
In Equation (5), S expresses the company's sales, ΔCwci represents the change in inventory value
calculated according to the principle of prudence, Cp represents the capitalization of costs for internal construction
of fixed assets, and Os expresses other sales. Mc represents the costs of raw materials, Sc the costs of services,
Rc the costs of renting and leasing, and Oc other costs. EBITDA is earnings before interest, tax depreciations, and
amortizations. It approximates the creation of liquidity without consideration of nonmonetary costs (Dc + Ac). Dc and Ac
represent depreciations and amortizations. EBIT is earnings before interest and tax as an intermediate profit margin
expressing the company's current operating income. Ir represents interest revenue, Ic represents interest charge, and
Ir - Ic = SF, where SF represents the balance of financial management. Rr represents revaluation and Dc devaluation,
and Rr - Dc = SR, where SR is the balance of revaluations and impairments of financial assets management. Xr represents
extraordinary revenue, while Xc represents extraordinary charges, and Xr - Xc = SX, where SX represents the balance of
extraordinary management. ΠbT represents profit before taxes, while T represents income taxes. Π
represents net profit. It is worth noting that the income statement does not take into account the actual time of
manifestation of monetary operations, and as such income margins (considered here as the variables EBITDA, EBIT,
and Π) do not express necessary cash flow generation, as shown by several studies relating to companies with large
investments in fixed assets (Fazzari and Petersen, 1993; Cleary, 1999; De Miguel and Pindado, 2001; Bagella et al.,
2001; Caggese and Cunat, 2014) and working capital (Shin and Soenen, 1998; Howorth and Westhead, 2003; Padachi, 2006;
Caggese, 2007; Taylor, 2011; Ukaegbu, 2014; Kroes and Manikas, 2014). In defining cash flow and its impact on various
management decisions, an early definition has expressed cash flow as the sum of an accounting result (profit or EBIT)
plus depreciation and amortizations (Beaver, 1966).
Other researchers (Gombola and Ketz, 1983) have expressed cash flows with consideration of the absorption or generation
of cash during the working capital cycle (Rayburn, 1986; Wilson, 1987; Finger, 1994; Lorek and Willinger, 1996;
Sweeney, 2014). Researchers apply two methods to draft cash flow statements (Bradbury, 2011): the direct method
(Dechow et al., 1998; Chittenden et al., 2000; Almeida et al., 2004; Farshadfar and Monem, 2013; Clacher et al., 2013)
considers monetary revenues and costs as determinants of cash flow (CF), whereas the indirect method (Giacomino and
Mielke, 1998; Carroll and Griffith, 2001; Bond et al., 2012) derives the quantification of CF from an income margin.
In our research, we have applied this second method and would express cash flow statements as follows:
Π + (Dc + Ac) + SF = CF
CF ± ΔNWC = OCF
OCF ± BFA = UFCF
UFCF - SF = FCFE
In Equation (6), CF represents cash flow, OCF represents operating cash flow, UFCF represents unlevered free cash flow,
and FCFE represents cash flow to equity and free cash flow to equity. UFCF represents cash flow available for the
remuneration of financial debt and equity capital, while FCFE represents cash available for distribution to shareholders.
Cash flow statement margins are applied to calculate interest coverage margins (ICRs), particularly in capital-intensive
firms (Iotti and Bonazzi, 2015b). Again, only if it is verified that FCFE > 0 is it possible to pay a dividend to
shareholders. If UFCF < 0, the firm is not able to pay the cost of debt even if economic margins (EBITA, EBIT,
and Π) are positive. On this topic, it should be noted that even in cases of positive profits, firms may have
difficulty repaying their debts because of the absorption of capital. The joint application of economic and financial
approaches for the assessment of management can also give different results, as shown for other sectors by several
studies (Greenberg et al., 1986; Kwon, 1989; Dechow and DIchev, 1994; Russell, 2009; Sgroi et al., 2015).
3. Results and discussion
Data collection and research plan. To perform the analysis, we defined a sample of 12 companies operating in the
highway sector in Italy. All 12 companies in the sample are active with ATECO 2007 code "522120: Management of roads,
bridges, tunnels". In the sample, we have not considered Autostrade per l'Italia, which, because of the size of its
grant (2,854 km), would cause asymmetry in investments and sales in the sample firms. Overall, 12 companies have licensed
1,776 km of highway (148 on average for each highway), that is, about 26% of all highways in Italy (45% without the
weight of Autostrade per l'Italia). The 12 companies have been chosen based on availability in the database "Computerized
analysis of Italian firms", referred to as AIDA, of at least three years of data. The data analysis has been performed
using the SPSS statistical package, issue 19.
In the research, we have considered the following 12 highway concessionaires: Società Autostrada
Torino–Alessandria–Piacenza spa (10 years of data), Autostrada del Brennero spa (10 years of data), Autostrada Brescia
Verona Vicenza Padova spa (4 years of data), Strada dei Parchi spa (10 years of data), Autovie Venete spa (10 years of
data), Autostrada dei Fiori spa (10 years of data), Concessioni Autostradali Venete spa (6 years of data), Autostrada
Torino–Ivrea–Valle d'Aosta spa (10 years of data), Autostrada Torino–Savona spa (10 years of data), Autostrade
Centropadane spa (10 years of data), Società di Progetto Autostrada Asti–Cuneo spa (9 years of data), and Tangenziale
di Napoli spa (10 years of data). Overall, we have analyzed 109 years of data, with no missing data in the database.
The most recent year is 2014, in which the 12 firms reached an amount of 1.618 billion euro in sales, 8.059 billion euro
in investments, 102 million euro in taxes paid, and 5,000 workers employed. Average sales were 911.244 euro per km of
highway per year. This article develops the analysis as follows: (a) We reclassify the annual accounts of 12 highway firms
included in the sample, applying descriptive statistics to balance sheets, income statements, and cash flow statements;
(b) we test whether there are statistically significant correlations between economic margins (variables EBITA, EBIT,
and Π) and financial margins (CF, OCF, UFCF, and FCFE); and (c) we test whether there are statistically significant
differences between economic margins (EBITA, EBIT, and Π) and financial margins (CF, OCF, UFCF, and FCFE).
Annual account data analysis. The analysis of the 12 sample firms first considers annual account data
which confirm the high level of capital intensity required for highway activities (the median value of TA:S is 4.425);
sector firms are capital intensive, particularly considering fixed assets (the median value of FA:S is 3.378). The sample
data have positive skewness for balance sheet values, with mean values higher than median. The Kolmogorov–Smirnov D
statistic on normality of distribution shows that all balance sheet values do not follow a normal distribution. Capital
absorption is relevant in fixed assets (the median value of FA is 78.52% of TA), and this confirms that highway firms need
to have relevant investments in fixed assets, particularly for Bfatan (59.84% of TA).
FA investments have an effect on increasing the source of capital needed to finance long-term investments, to be covered
with ET or Df>12m. To cover their financial needs, the firms in the sample use equity (ET) as the first source
of capital, given the fact that the median value of ET is 43.97%. Sample firms rarely finance investments with financial
debts; in fact, median values are Df>12m = 0.21% of TA and Df<12m = 0.13% of TA. The values of
financial debt are particularly asymmetric (3.097 for Df<12m and 2.888 for Df>12m), and, in fact,
the mean values are Df>12m = 19.61% of TA and Df<12m = 8.32% of TA. Moreover, it is worth noting
that stable sources of funding (ET + Df>12m) are 44.18% of TA, while FA is 78.52% of TA, and stable sources
of finance are not able, for median values, to cover financial needs to finance FA investments.
A part of FA investments is then financed with short-term loans, expressing a typical matter of financial risk. In fact,
the sample firms frequently cover FA investments via short-term commercial debts. Highway firms have no delay in
collecting their accounts receivable (Cwcar<12m + Cwcar>12m) from consumers, but they frequently
experience large delays in payment from their suppliers because of their bargaining strength. The average cycle
(Cwcar<12m + Cwcar>12m), expressed by AR_DAYS, could be calculated as (Cwcar<12m +
Cwcar>12m) × 365 : S. AR_DAYS has a median length of 16.665 days (the mean is 41.897 days). Accounts payable
(Dwcap<12m + Dwcap>12m) are also an important source of capital (the mean value is 4.39%, and the
median value is 4.26% of TA). AP_DAYS, which can be calculated as (Dwcap<12m + Dwcap>12m) × 365 :
(Mc + Sc), has a median length of 255.509 days (the mean is 329.047 days).
Particularly, the highway firms analyzed herein have important other accounts payable (Dwco<12m +
Dwco>12m) as sources of capital (the mean value is 18.15% of TA, and the median value is 7.40% of TA) because
of the great delay in payment of other accounts payable (OAP_DAYS), which can be calculated as (Cwcap<12m +
Cwcap>12m) × 365 : S (an approximation, given that S does not have a direct impact on the size of other
accounts payable). OAP_DAYS has a median length of 119.624 days (the mean is 328.871 days). The high capital generation
due to the length of AP_DAYS and OAP_DAYS confirms the bargaining power of highway firms with regard to their suppliers.
It is worth noting that the sample firms, because of their types of activity, are often without inventory values.
we express net invested capital (NIC) as the sum of FA and NWC. Data show that FA is 138.72% (the mean is 142.79%) of NIC,
while NWC is -29.71% of NIC (the mean is -42.79%). These data are particularly interesting because they confirm that
highway firms finance their FA investments via NWC, which provides a source of cash. This is defined as an aggressive
strategy of working capital management (Grablowsky, 1984; Weinraub and Visscher, 1998), and, even if useful to generate
financial resources for the investment cycle, NWC < 0 is inversely correlated with financial default, expressing a
particularly risky strategy of short-term financial funding (Hill et al., 2010). Out of 109 cases in the sample, NWC = 0
in 13 and NWC < 0 in 96, expressing a high level of capital generation to finance FA investments via the NWC cycle. ET is
79.89% of NIC (the mean is 66.61%), while NFP is 33.39% of NIC (the mean is 8.40%). The ratio between NFP and ET (net
financial position equity ratio: NFP_E_R) is 0.105 (the mean is 0.501), expressing a low level of financial indebtedness,
thus confirming the relevance of equity (and NWC cycle) in financing highway firms.
Further information on the typical characteristics of firms in the sector results from an analysis of economic data in
The median value of S amounts to 83,895,946 euro, and the major production factors are services (20,889,250 euro,
24.90% of S) and labor (19,119,411 euro, 22.79% of S). EBITDA has a median value of 46,665,998 euro (55.62% of S) and a
mean of 54,366,695 euro. Ac + Dc absorbs a median value of 17.21% of S, and EBIT then has a median value of 23,214,467
euro (27.67% of S) and a mean of 28,106,969 euro. The median values of EBITDA and EBIT are lower than the mean values, as
expressed by a comparison with median values, having EBITDA = 0 in 105 cases out of 109 and EBIT = 0 in 104 cases.
Financial management (SF) absorbs a median value only 0.57% of S (i.e., 65.60% of EBIT and 27.20% of EBITDA) in mean
values, and the data highlights that SF = 0 in 39 cases out of 109, contributing to profit generation, while SF < 0 in
70 cases, in all of which EBITDA > SF in absolute value, thus expressing EBITDA's ability to cover SF charges when
negative. The same goes for EBIT.
Π has a median value of 9,781,643 euro (11.66% of S) and a mean of 15,131,726 euro, and Π = 0 in 94 cases out
of 109. It is worth noting that 10 cases of negative Π are concentrated in one firm, and 4 cases of negative Π
are concentrated in a single other firm, thus confirming firms' capacity to generate income via highway management in a
large majority of cases. An analysis of income statements also shows that the data have a high level of positive and
negative skewness and kurtosis for the majority of values. Therefore, the Kolmogorov–Smirnov D statistic on normality of
distribution shows that the values of these income statements do not follow a normal distribution.
The analysis of cash flow statements
calculated from 97 years of data (12 first years as base years for every firm, considered in the calculation) highlights some
typical management characteristics of firms in the highway sector: (1) Income margin profit (Π) generates a relevant
source of cash (9,910,936 euro as a median value, that is, 261.95% of FCFE); (2) CF, because of the relevance of Dc + Ac, is
particularly high and amounts to 37,795,080 euro as a median value, that is, 998.96% of FCFE; (3) the dynamic of NWC investment
is stable and does not absorb a significant amount of liquidity generated by operations (CF); (4) OCF is then 40,764,747 euro
as a median value, that is, 1,077.45% of FCFE; (5) the dynamic of FA investments absorbs the most part of OCF, as expressed by
UFCF values, making a median value of 5,749,111 euro, that is, 151.95% of FCFE. SF absorbs a median value of 998,881 euro
(26.40% of FCFE).
Given these results, the analysis shows that CF = 0 in 95 cases out of 97, OCF = 0 in 88 cases out of 97, UFCF = 0 in 62 cases
out of 97, and FCFE = 0 in 58 cases out of 97. In the 97 considered cases, EBITDA = 0 in 95 cases, EBIT = 0 in 94 cases, and
Π = 0 in 84 cases. The analysis shows in several cases that the sample firms are not able to meet their financial
commitments and pay the costs of their debt. The median value of FCFE < 0 represents the inability of firms in the sample,
on average, to proceed to a distribution of profits, if detected, and eventually repay the NFP, with the need to acquire
additional debt (or improve equity capital) to financially support the business management cycle. The analysis shows that
the sample firms are not able to distribute dividends in 58, even considering their high levels of economic margins (as a
ratio of S).
Given the high level of investment required to access the sector, and given the necessity to finance via maintenance the
required level of highway services even through the adoption of technology, this analysis of the differences between
income and financial margins highlights necessary considerations about the financial requirements for highway maintenance
and to ensure the required payout ratio, given the high level of equity provided by shareholders to firms in the sample.
This analysis could allow for corrections to prevent financial crises, considering the aggressive NWC policies of the
Regarding these topics, we should consider that EBITDA and EBIT, as economic margins, are frequently applied to assess the
sustainability of a business cycle and to approximate cash flow, particularly regarding debt financing for ICRs (Moir and
Sudarsanam, 2007), and several researchers have highlighted that ICRs calculated using an economic (income) approach could
be significantly different from ICRs calculated using a financial approach (Bonazzi and Iotti, 2014; Iotti and Bonazzi,
2015c). Moreover, it is necessary to express that only in a steady-state situation, in which there is no change in the
extension granted and received by customers and suppliers, and without turnover variation (expressed as ΔS = 0), is
there equality, even with lag time, between income and financial margins in the NWC cycle, as in the case of ΔNW = 0.
Particularly in the case of highway firms, FA investments are relevant and concessionaires have to maintain the efficiency
of highways with ordinary and extraordinary investments in route maintenance, thus absorbing capital and investing in the
Economic and financial margins analysis. On these themes, the research has aimed to verify whether margins
calculated using an economic approach (EBITDA, EBIT, and profit) correlate with and differ significantly from margins
calculated using a financial approach (CF, OCF, UFCF, and FCFE). The Kolmogorov–Smirnov D statistic on normality of
distribution shows that all distributions considered margins, both economic and financial, do not follow a normal
distribution, so it has been necessary to apply a nonparametric approach, such as the Spearman's rho (ρ) test, to
test correlations between margins. The correlation calculated with the nonparametric approach
shows several significant correlations between margins, with high significance (1.00%). EBITDA and EBIT are particularly
correlated with other income margins, and with CF and OCF, while they are slightly correlated with UFCF and not correlated
with FCFE. Π is predictive of financial margins, resulting in correlation with FCFE but not with UFCF. Even financial
margins are correlated with one another, though CF is slightly correlated with UFCF and is not correlated with FCFE.
The comparison between income (EBITDA, EBIT, and Π) and financial (CF, OCF, UFCF, and FCFE) margins aims to evaluate
the significance of differences between mean values
This analysis determines whether different margins can be applied as substitutes for one another and even give information
to managers and banks to apply correct margins to assess the sustainability of firms' cycles. The Kolmogorov–Smirnov D
statistic on normality of distribution shows that all income and financial margins do not follow a normal distribution,
so it has been necessary to apply a nonparametric approach, such as the Wilcoxon T statistic (Wilcoxon matched-pairs
signed-rank test). The analysis is articulated, considering 12 comparisons, and a comparison of pairs using a
nonparametric approach highlights that it is possible to reject the null hypothesis of equality between means by applying
a two-sided test with significance at 1% in 11 cases out of 12. Only paired-sample comparisons of EBITDA and OCF using
Wilcoxon T statistics do not reject the null hypothesis of equality of means.
An analysis of the economic margins shows that, for the sample firms, income margins (EBITDA, EBIT, and Π) differ
from financial margins (CF, OCF, UFCF, and FCFE), and it is not possible to evaluate firms' management cycles or
financial sustainability by applying income margins instead of financial margins, with the only exception of EBITDA–OCF
approximations (as exposed by analysis of paired samples). On this topic, the data show that EBITDA > CF in 88 cases out
of 97, EBITDA > OCF in 56 cases out of 97, EBITDA > UFCF in 87 cases out of 97, and EBITDA > FCFE in 89 cases out of 97.
Additionally, EBIT > CF in 8 cases out of 97, EBIT > OCF in 23 cases out of 97, EBIT > UFCF in 78 cases out of 97, and
EBIT > FCFE in 78 cases out of 97. Π > CF in 2 cases out of 97, Π > OCF in 13 cases out of 97, Π > UFCF
in 58 cases out of 97, and Π > FCFE in 62 cases out of 97.
The analysis conducted in Italy has allowed us to qualify firms operating in the highway sector as capital-intensive
firms. Particularly, investments in FA are, in absolute value, higher than S and are financed primarily with ET and with
NWC. This assumes that sources of finance are often negative. The sample data show that, in any case, the income margins
of companies are positive, with high levels of profitability in percentage of S. The main difficulties for firms are
related to the financial cycle. In fact, the financial margins (OFC, UFCF, and FCFE in particular) of sample firms are
worse than their economic margins (EBITDA, EBIT, and Π), with various cases of negative financial margins.
On this topic, the research has been useful in concluding that income margins are statistically different, and higher,
than financial margins, a result gathered from applying T Wilcoxon statistics for paired samples. In particular,
financial margins (especially UFCF and FCFE), although related, are statistically different from the economic margins
represented by EBITDA, EBIT, and Π. The generation of FCFE is a critical element of highway firms, given the result
of FCFE = 0 in 58 cases out of 97 in the analysis, compared with Π = 0 in 84 cases out of 97. Given the differences
that exist between economic and financial margins (and, frequently, given greater values for income margins compared
with income margins), it is essential that highway firms apply cash flow statement analyses to quantify properly their
generation of cash flows.
The phase shift between the economic and financial cycles in the highway sector shows that the absorption of financial
resources, particularly due to the cycle of investments in FA, means that financial margins cannot be properly
approximated by applying economic margins in many cases, particularly if the aim is to estimate cash flow generation.
The analysis has thus shown that firms in the sector, although able to generate a high return in relation to sales, may
suffer from a lack of liquidity, and an analysis relating to this must be carried out using financial margins, as income
margins, even when related, differ significantly from financial margins.
Despite its useful conclusions, this research has some limitations. Firstly, the sample analyzed is related to a small
number of firms (12) on a time series of 10 years, with a total of 109 observations (97 for financial margins). It could
be useful to extend the analysis to a larger sample; the analysis could even be repeated over the next few years, also
considering the effects of current changes in European rules about public concessions in the highway sector. The research
could be further developed through an analysis of cash flow to equity and profit generations and through an application
of multiple regression models to the sample firms or even by an extension of the research to the whole highway sector.
On this topic, it could be useful to analyze other European and non-European countries with the aim of comparing the
profitability of highway firms with other types of firms. Conclusions could be useful in publicly comparing the
profitability of highway firms, the values of their public services, and state budget advantages brought about by
The authors would like to thank analisiaziendale.it for valuable IT assistance and support
in creating a web database for financial data storage and analysis. The article is the result of full collaboration
between the authors: Giuseppe Bonazzi wrote "1. Introduction", "3. Results and discussion: Data collection and research
Paolo Camanzi wrote "3. Results and discussion: Annual account data analysis"; Mattia Iotti wrote "2. Material and Methods,"
"3. Results and discussion: Economic and financial margins analysis", "4. Conclusion".
* * *
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