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Espe SpA (MIL:ESPE) Beneish M-Score : -3.04 (As of Mar. 30, 2025)


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What is Espe SpA Beneish M-Score?

The zones of discrimination for M-Score is as such:

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator.
An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

Good Sign:

Beneish M-Score -3.04 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Espe SpA's Beneish M-Score or its related term are showing as below:

MIL:ESPE' s Beneish M-Score Range Over the Past 10 Years
Min: -3.04   Med: -3.04   Max: -3.04
Current: -3.04

During the past 3 years, the highest Beneish M-Score of Espe SpA was -3.04. The lowest was -3.04. And the median was -3.04.


Espe SpA Beneish M-Score Historical Data

The historical data trend for Espe SpA's Beneish M-Score can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Espe SpA Beneish M-Score Chart

Espe SpA Annual Data
Trend Dec21 Dec22 Dec23
Beneish M-Score
- - -3.04

Espe SpA Semi-Annual Data
Dec21 Jun22 Dec22 Jun23 Dec23 Jun24
Beneish M-Score Get a 7-Day Free Trial - - - -3.04 -

Competitive Comparison of Espe SpA's Beneish M-Score

For the Engineering & Construction subindustry, Espe SpA's Beneish M-Score, along with its competitors' market caps and Beneish M-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Espe SpA's Beneish M-Score Distribution in the Construction Industry

For the Construction industry and Industrials sector, Espe SpA's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Espe SpA's Beneish M-Score falls into.


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Espe SpA Beneish M-Score Calculation

The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.

The M-Score Variables:

The M-score of Espe SpA for today is based on a combination of the following eight different indices:

M=-4.84+0.92 * DSRI+0.528 * GMI+0.404 * AQI+0.892 * SGI+0.115 * DEPI
=-4.84+0.92 * 0.4524+0.528 * 0.5564+0.404 * 0.7507+0.892 * 1.1824+0.115 * 0.8687
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1+4.679 * 0.027271-0.327 * 0.9907
=-3.04

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

This Year (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was €7.22 Mil.
Revenue was €43.26 Mil.
Gross Profit was €8.93 Mil.
Total Current Assets was €55.68 Mil.
Total Assets was €59.66 Mil.
Property, Plant and Equipment(Net PPE) was €1.94 Mil.
Depreciation, Depletion and Amortization(DDA) was €1.31 Mil.
Selling, General, & Admin. Expense(SGA) was €0.00 Mil.
Total Current Liabilities was €48.67 Mil.
Long-Term Debt & Capital Lease Obligation was €1.69 Mil.
Net Income was €1.63 Mil.
Gross Profit was €0.00 Mil.
Cash Flow from Operations was €0.00 Mil.
Total Receivables was €13.50 Mil.
Revenue was €36.59 Mil.
Gross Profit was €4.20 Mil.
Total Current Assets was €39.27 Mil.
Total Assets was €41.91 Mil.
Property, Plant and Equipment(Net PPE) was €0.73 Mil.
Depreciation, Depletion and Amortization(DDA) was €0.39 Mil.
Selling, General, & Admin. Expense(SGA) was €0.00 Mil.
Total Current Liabilities was €34.64 Mil.
Long-Term Debt & Capital Lease Obligation was €1.07 Mil.




1. DSRI = Days Sales in Receivables Index

Measured as the ratio of Revenue in Total Receivables in year t to year t-1.

A large increase in DSR could be indicative of revenue inflation.

DSRI=(Receivables_t / Revenue_t) / (Receivables_t-1 / Revenue_t-1)
=(7.219 / 43.26) / (13.497 / 36.587)
=0.166875 / 0.368902
=0.4524

2. GMI = Gross Margin Index

Measured as the ratio of gross margin in year t-1 to gross margin in year t.

Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.

GMI=GrossMargin_t-1 / GrossMargin_t
=(GrossProfit_t-1 / Revenue_t-1) / (GrossProfit_t / Revenue_t)
=(4.202 / 36.587) / (8.929 / 43.26)
=0.11485 / 0.206403
=0.5564

3. AQI = Asset Quality Index

AQI is the ratio of asset quality in year t to year t-1.

Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.

AQI=(1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) / (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1)
=(1 - (55.68 + 1.944) / 59.661) / (1 - (39.272 + 0.728) / 41.906)
=0.034143 / 0.045483
=0.7507

4. SGI = Sales Growth Index

Ratio of Revenue in year t to sales in year t-1.

Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.

SGI=Sales_t / Sales_t-1
=Revenue_t / Revenue_t-1
=43.26 / 36.587
=1.1824

5. DEPI = Depreciation Index

Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.

DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.

DEPI=(Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) / (Depreciation_t / (Depreciaton_t + PPE_t))
=(0.391 / (0.391 + 0.728)) / (1.308 / (1.308 + 1.944))
=0.349419 / 0.402214
=0.8687

Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.

6. SGAI = Sales, General and Administrative expenses Index

The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.

SGA expenses index > 1 means that the company is becoming less efficient in generate sales.

SGAI=(SGA_t / Sales_t) / (SGA_t-1 /Sales_t-1)
=(0 / 43.26) / (0 / 36.587)
=0 / 0
=1

7. LVGI = Leverage Index

The ratio of total debt to Total Assets in year t relative to yeat t-1.

An LVGI > 1 indicates an increase in leverage

LVGI=((LTD_t + CurrentLiabilities_t) / TotalAssets_t) / ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1)
=((1.691 + 48.671) / 59.661) / ((1.071 + 34.635) / 41.906)
=0.844136 / 0.85205
=0.9907

8. TATA = Total Accruals to Total Assets

Total accruals calculated as the change in working capital accounts other than cash less depreciation.

TATA=(IncomefromContinuingOperations_t - CashFlowsfromOperations_t) / TotalAssets_t
=(NetIncome_t - NonOperatingIncome_t - CashFlowsfromOperations_t) / TotalAssets_t
=(1.627 - 0 - 0) / 59.661
=0.027271

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

Espe SpA has a M-score of -3.04 suggests that the company is unlikely to be a manipulator.


Espe SpA Beneish M-Score Related Terms

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Espe SpA Business Description

Traded in Other Exchanges
N/A
Address
Via Dell Artigianato 6, Grantorto, Padua, ITA, 35010
Espe SpA is a company which is producers of cutting edge solutions. They are born as installers of industrial electrical systems, over the years they have accumulated a rich wealth of experience, expanding its activities in the field of installation of photovoltaic systems and in the direct production of innovative technologies in the small wind, hydroelectric and biomass sectors.

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