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Finseta (FRA:90W) Beneish M-Score : -1.54 (As of Dec. 15, 2024)


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What is Finseta 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.

Warning Sign:

Beneish M-Score -1.54 higher than -1.78, which implies that the company might have manipulated its financial results.

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

FRA:90W' s Beneish M-Score Range Over the Past 10 Years
Min: -12.72   Med: -6.17   Max: -1.54
Current: -1.54

During the past 5 years, the highest Beneish M-Score of Finseta was -1.54. The lowest was -12.72. And the median was -6.17.


Finseta Beneish M-Score Historical Data

The historical data trend for Finseta'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.

Finseta Beneish M-Score Chart

Finseta Annual Data
Trend Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
- - -12.72 -6.17 -1.54

Finseta Semi-Annual Data
Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24
Beneish M-Score Get a 7-Day Free Trial Premium Member Only - -6.17 - -1.54 -

Competitive Comparison of Finseta's Beneish M-Score

For the Software - Infrastructure subindustry, Finseta'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.


Finseta's Beneish M-Score Distribution in the Software Industry

For the Software industry and Technology sector, Finseta's Beneish M-Score distribution charts can be found below:

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



Finseta 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 Finseta 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 * 0.796+0.528 * 0.9609+0.404 * 0.6196+0.892 * 2.0202+0.115 * 2.1246
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.5797+4.679 * 0.026692-0.327 * 0.7399
=-1.52

* 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 €0.75 Mil.
Revenue was €11.20 Mil.
Gross Profit was €7.10 Mil.
Total Current Assets was €4.30 Mil.
Total Assets was €7.83 Mil.
Property, Plant and Equipment(Net PPE) was €0.97 Mil.
Depreciation, Depletion and Amortization(DDA) was €0.72 Mil.
Selling, General, & Admin. Expense(SGA) was €5.13 Mil.
Total Current Liabilities was €2.83 Mil.
Long-Term Debt & Capital Lease Obligation was €2.95 Mil.
Net Income was €2.48 Mil.
Gross Profit was €0.00 Mil.
Cash Flow from Operations was €2.27 Mil.
Total Receivables was €0.47 Mil.
Revenue was €5.54 Mil.
Gross Profit was €3.38 Mil.
Total Current Assets was €2.32 Mil.
Total Assets was €5.03 Mil.
Property, Plant and Equipment(Net PPE) was €0.05 Mil.
Depreciation, Depletion and Amortization(DDA) was €0.46 Mil.
Selling, General, & Admin. Expense(SGA) was €4.38 Mil.
Total Current Liabilities was €2.52 Mil.
Long-Term Debt & Capital Lease Obligation was €2.50 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)
=(0.751 / 11.2) / (0.467 / 5.544)
=0.067054 / 0.084235
=0.796

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)
=(3.376 / 5.544) / (7.098 / 11.2)
=0.608947 / 0.63375
=0.9609

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 - (4.298 + 0.965) / 7.83) / (1 - (2.324 + 0.046) / 5.033)
=0.327842 / 0.529108
=0.6196

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
=11.2 / 5.544
=2.0202

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))
=(0.461 / (0.461 + 0.046)) / (0.722 / (0.722 + 0.965))
=0.90927 / 0.427979
=2.1246

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)
=(5.125 / 11.2) / (4.376 / 5.544)
=0.457589 / 0.789322
=0.5797

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)
=((2.953 + 2.828) / 7.83) / ((2.499 + 2.523) / 5.033)
=0.738314 / 0.997814
=0.7399

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
=(2.477 - 0 - 2.268) / 7.83
=0.026692

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.

Finseta has a M-score of -1.52 signals that the company is likely to be a manipulator.


Finseta Beneish M-Score Related Terms

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Finseta Business Description

Traded in Other Exchanges
Address
14-18 Copthall Avenue, London, ENG, EC2R 7DJ
Finseta PLC is a cloud-based provider of multi-currency accounts, international payment, currency risk management, and electronic account services focused on removing the complexity of international payments for customers.

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