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Florentaise S A (XPAR:ALFLO) Beneish M-Score : -2.34 (As of Dec. 14, 2024)


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What is Florentaise S A 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 -2.34 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

XPAR:ALFLO' s Beneish M-Score Range Over the Past 10 Years
Min: -2.34   Med: -2.19   Max: -2.03
Current: -2.34

During the past 4 years, the highest Beneish M-Score of Florentaise S A was -2.03. The lowest was -2.34. And the median was -2.19.


Florentaise S A Beneish M-Score Historical Data

The historical data trend for Florentaise S A'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.

Florentaise S A Beneish M-Score Chart

Florentaise S A Annual Data
Trend Jun19 Jun20 Jun21 Jun22
Beneish M-Score
- - -2.03 -2.34

Florentaise S A Semi-Annual Data
Jun20 Jun21 Jun22 Dec22 Dec23
Beneish M-Score - -2.03 -2.34 - -

Competitive Comparison of Florentaise S A's Beneish M-Score

For the Agricultural Inputs subindustry, Florentaise S A'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.


Florentaise S A's Beneish M-Score Distribution in the Agriculture Industry

For the Agriculture industry and Basic Materials sector, Florentaise S A's Beneish M-Score distribution charts can be found below:

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



Florentaise S A 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 Florentaise S A 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 * 1.3335+0.528 * 0.9686+0.404 * 0.7918+0.892 * 0.9814+0.115 * 1.2426
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1+4.679 * -0.018876-0.327 * 0.9788
=-2.34

* 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 (Jun22) TTM:Last Year (Jun21) TTM:
Total Receivables was €28.00 Mil.
Revenue was €57.51 Mil.
Gross Profit was €28.16 Mil.
Total Current Assets was €46.66 Mil.
Total Assets was €78.30 Mil.
Property, Plant and Equipment(Net PPE) was €27.67 Mil.
Depreciation, Depletion and Amortization(DDA) was €4.32 Mil.
Selling, General, & Admin. Expense(SGA) was €0.00 Mil.
Total Current Liabilities was €18.98 Mil.
Long-Term Debt & Capital Lease Obligation was €41.54 Mil.
Net Income was €0.93 Mil.
Gross Profit was €0.00 Mil.
Cash Flow from Operations was €2.41 Mil.
Total Receivables was €21.39 Mil.
Revenue was €58.60 Mil.
Gross Profit was €27.79 Mil.
Total Current Assets was €36.30 Mil.
Total Assets was €60.16 Mil.
Property, Plant and Equipment(Net PPE) was €20.01 Mil.
Depreciation, Depletion and Amortization(DDA) was €4.03 Mil.
Selling, General, & Admin. Expense(SGA) was €0.00 Mil.
Total Current Liabilities was €15.56 Mil.
Long-Term Debt & Capital Lease Obligation was €31.95 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)
=(27.995 / 57.511) / (21.391 / 58.598)
=0.486776 / 0.365047
=1.3335

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)
=(27.789 / 58.598) / (28.158 / 57.511)
=0.474231 / 0.489611
=0.9686

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 - (46.66 + 27.669) / 78.301) / (1 - (36.295 + 20.009) / 60.158)
=0.050727 / 0.064065
=0.7918

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
=57.511 / 58.598
=0.9814

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))
=(4.031 / (4.031 + 20.009)) / (4.316 / (4.316 + 27.669))
=0.167679 / 0.134938
=1.2426

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 / 57.511) / (0 / 58.598)
=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)
=((41.543 + 18.983) / 78.301) / ((31.947 + 15.564) / 60.158)
=0.772991 / 0.78977
=0.9788

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
=(0.93 - 0 - 2.408) / 78.301
=-0.018876

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.

Florentaise S A has a M-score of -2.34 suggests that the company is unlikely to be a manipulator.


Florentaise S A Beneish M-Score Related Terms

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Florentaise S A Business Description

Traded in Other Exchanges
N/A
Address
Le Grand Patis, Saint-Mars-du-Desert, FRA, 44850
Florentaise S A ambition is to develop innovative products and components serving the cultivation, food and health of plants that are both environmentally friendly and effective.

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