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Greek Organisation of Football Prognostics (FRA:GF8) Beneish M-Score : -2.70 (As of Jun. 02, 2024)


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What is Greek Organisation of Football Prognostics 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 -2.7 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Greek Organisation of Football Prognostics's Beneish M-Score or its related term are showing as below:

FRA:GF8' s Beneish M-Score Range Over the Past 10 Years
Min: -3.05   Med: -2.59   Max: -0.81
Current: -2.7

During the past 13 years, the highest Beneish M-Score of Greek Organisation of Football Prognostics was -0.81. The lowest was -3.05. And the median was -2.59.


Greek Organisation of Football Prognostics Beneish M-Score Historical Data

The historical data trend for Greek Organisation of Football Prognostics'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.

Greek Organisation of Football Prognostics Beneish M-Score Chart

Greek Organisation of Football Prognostics Annual Data
Trend Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -2.85 -2.67 -2.90 -2.79 -2.54

Greek Organisation of Football Prognostics Quarterly Data
Dec18 Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23
Beneish M-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -3.05 -2.54 -2.62 -2.36 -2.70

Competitive Comparison of Greek Organisation of Football Prognostics's Beneish M-Score

For the Gambling subindustry, Greek Organisation of Football Prognostics'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.


Greek Organisation of Football Prognostics's Beneish M-Score Distribution in the Travel & Leisure Industry

For the Travel & Leisure industry and Consumer Cyclical sector, Greek Organisation of Football Prognostics's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Greek Organisation of Football Prognostics's Beneish M-Score falls into.



Greek Organisation of Football Prognostics 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 Greek Organisation of Football Prognostics 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 * 0.9067+0.528 * 0.9169+0.404 * 0.8822+0.892 * 1.0845+0.115 * 0.9965
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.4383+4.679 * -0.005975-0.327 * 1.0548
=-2.70

* 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 (Sep23) TTM:Last Year (Sep22) TTM:
Total Receivables was €83 Mil.
Revenue was 328.252 + 344.836 + 363.489 + 376.706 = €1,413 Mil.
Gross Profit was 193.473 + 204.573 + 216.408 + 538.723 = €1,153 Mil.
Total Current Assets was €973 Mil.
Total Assets was €2,452 Mil.
Property, Plant and Equipment(Net PPE) was €87 Mil.
Depreciation, Depletion and Amortization(DDA) was €132 Mil.
Selling, General, & Admin. Expense(SGA) was €87 Mil.
Total Current Liabilities was €939 Mil.
Long-Term Debt & Capital Lease Obligation was €671 Mil.
Net Income was 83.261 + 106.45 + 117.968 + 306.546 = €614 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 125.384 + 160.123 + 143.727 + 199.641 = €629 Mil.
Total Receivables was €84 Mil.
Revenue was 340.03 + 304.046 + 312.606 + 346.468 = €1,303 Mil.
Gross Profit was 204.632 + 181.197 + 188.014 + 401.111 = €975 Mil.
Total Current Assets was €737 Mil.
Total Assets was €2,323 Mil.
Property, Plant and Equipment(Net PPE) was €91 Mil.
Depreciation, Depletion and Amortization(DDA) was €137 Mil.
Selling, General, & Admin. Expense(SGA) was €56 Mil.
Total Current Liabilities was €902 Mil.
Long-Term Debt & Capital Lease Obligation was €545 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)
=(82.719 / 1413.283) / (84.124 / 1303.15)
=0.05853 / 0.064554
=0.9067

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)
=(974.954 / 1303.15) / (1153.177 / 1413.283)
=0.748152 / 0.815956
=0.9169

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 - (972.944 + 86.605) / 2451.906) / (1 - (737.036 + 90.582) / 2322.781)
=0.567867 / 0.643695
=0.8822

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
=1413.283 / 1303.15
=1.0845

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))
=(136.703 / (136.703 + 90.582)) / (131.865 / (131.865 + 86.605))
=0.601461 / 0.603584
=0.9965

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)
=(87.296 / 1413.283) / (55.963 / 1303.15)
=0.061768 / 0.042944
=1.4383

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)
=((671.065 + 939.489) / 2451.906) / ((544.688 + 901.801) / 2322.781)
=0.656858 / 0.62274
=1.0548

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
=(614.225 - 0 - 628.875) / 2451.906
=-0.005975

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.

Greek Organisation of Football Prognostics has a M-score of -2.70 suggests that the company is unlikely to be a manipulator.


Greek Organisation of Football Prognostics Beneish M-Score Related Terms

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Greek Organisation of Football Prognostics (FRA:GF8) Business Description

Traded in Other Exchanges
Address
112 Athinon Avenue, Attica, Athens, GRC, 104 42
Greek Organisation of Football Prognostics SA is a gambling company that operates lotteries and sports betting, including horse races. The company is the exclusive gambling provider in Greece. The firm is organized into segments based on the type of game: Lotteries, Betting, Online betting, other online games, instant and passive, Vlts, Telecom and emoney services and others. The gaming services are provided either online or through physical retailers. The company generates the vast majority of its revenue in Greece.

Greek Organisation of Football Prognostics (FRA:GF8) Headlines

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