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Seko (WAR:SEK) Beneish M-Score : -2.73 (As of Dec. 11, 2024)


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What is Seko 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 -2.73 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

WAR:SEK' s Beneish M-Score Range Over the Past 10 Years
Min: -2.99   Med: -2.6   Max: 1.02
Current: -2.73

During the past 13 years, the highest Beneish M-Score of Seko was 1.02. The lowest was -2.99. And the median was -2.60.


Seko Beneish M-Score Historical Data

The historical data trend for Seko'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.

Seko Beneish M-Score Chart

Seko Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -2.86 -2.77 -2.61 1.02 -2.08

Seko Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
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 -0.46 -2.08 -2.47 -2.89 -2.73

Competitive Comparison of Seko's Beneish M-Score

For the Packaged Foods subindustry, Seko'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.


Seko's Beneish M-Score Distribution in the Consumer Packaged Goods Industry

For the Consumer Packaged Goods industry and Consumer Defensive sector, Seko's Beneish M-Score distribution charts can be found below:

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



Seko 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 Seko 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 * 0.9755+0.528 * 1.0022+0.404 * 1.0249+0.892 * 0.9229+0.115 * 0.9259
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1064+4.679 * -0.045307-0.327 * 0.7965
=-2.73

* 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 (Sep24) TTM:Last Year (Sep23) TTM:
Total Receivables was zł26.2 Mil.
Revenue was 52.031 + 43.453 + 61.512 + 83.376 = zł240.4 Mil.
Gross Profit was 7.444 + 6.443 + 11.928 + 17.567 = zł43.4 Mil.
Total Current Assets was zł56.2 Mil.
Total Assets was zł138.9 Mil.
Property, Plant and Equipment(Net PPE) was zł72.1 Mil.
Depreciation, Depletion and Amortization(DDA) was zł7.4 Mil.
Selling, General, & Admin. Expense(SGA) was zł30.6 Mil.
Total Current Liabilities was zł32.4 Mil.
Long-Term Debt & Capital Lease Obligation was zł0.0 Mil.
Net Income was 0.405 + -0.156 + 3.65 + 7.723 = zł11.6 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = zł0.0 Mil.
Cash Flow from Operations was -1.508 + 7.53 + 14.616 + -2.721 = zł17.9 Mil.
Total Receivables was zł29.1 Mil.
Revenue was 54.599 + 52.284 + 70.834 + 82.73 = zł260.4 Mil.
Gross Profit was 8.233 + 7.501 + 13.263 + 18.114 = zł47.1 Mil.
Total Current Assets was zł58.6 Mil.
Total Assets was zł141.0 Mil.
Property, Plant and Equipment(Net PPE) was zł71.9 Mil.
Depreciation, Depletion and Amortization(DDA) was zł6.8 Mil.
Selling, General, & Admin. Expense(SGA) was zł30.0 Mil.
Total Current Liabilities was zł41.3 Mil.
Long-Term Debt & Capital Lease Obligation was zł0.0 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)
=(26.163 / 240.372) / (29.061 / 260.447)
=0.108844 / 0.111581
=0.9755

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)
=(47.111 / 260.447) / (43.382 / 240.372)
=0.180885 / 0.180479
=1.0022

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 - (56.2 + 72.122) / 138.942) / (1 - (58.558 + 71.883) / 140.953)
=0.076435 / 0.074578
=1.0249

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
=240.372 / 260.447
=0.9229

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))
=(6.762 / (6.762 + 71.883)) / (7.383 / (7.383 + 72.122))
=0.085981 / 0.092862
=0.9259

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)
=(30.616 / 240.372) / (29.982 / 260.447)
=0.127369 / 0.115117
=1.1064

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)
=((0 + 32.408) / 138.942) / ((0 + 41.277) / 140.953)
=0.233248 / 0.292842
=0.7965

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
=(11.622 - 0 - 17.917) / 138.942
=-0.045307

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.

Seko has a M-score of -2.73 suggests that the company is unlikely to be a manipulator.


Seko Business Description

Traded in Other Exchanges
N/A
Address
ul. Zakladowa 3, Chojnice, POL, 89-620
Seko SA is a Poland based company which operates as a fish processing company. It produces fish products that are based on herring and mackerel. The company provides marinated fish, fish products based on salted herring, fish salads, fried fish in vinegar and tomato sauces among other products.

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