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Sparekassen Sjaelland-Fyn AS (OCSE:SPKSJF) Beneish M-Score : -2.62 (As of Dec. 12, 2024)


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What is Sparekassen Sjaelland-Fyn AS Beneish M-Score?

Note: Financial institutions were excluded from the sample in Beneish paper when calculating Beneish M-Score. Thus, the prediction might not fit banks and insurance companies.

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 -2.62 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

OCSE:SPKSJF' s Beneish M-Score Range Over the Past 10 Years
Min: -2.89   Med: -2.45   Max: -1.47
Current: -2.62

During the past 12 years, the highest Beneish M-Score of Sparekassen Sjaelland-Fyn AS was -1.47. The lowest was -2.89. And the median was -2.45.


Sparekassen Sjaelland-Fyn AS 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 Sparekassen Sjaelland-Fyn AS 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+0.528 * 1+0.404 * 0.9999+0.892 * 1.159+0.115 * 1.1066
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9964+4.679 * -0.051644-0.327 * 1.1537
=-2.62

* 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 kr0 Mil.
Revenue was 443.906 + 419.648 + 458.219 + 424.057 = kr1,746 Mil.
Gross Profit was 443.906 + 419.648 + 458.219 + 424.057 = kr1,746 Mil.
Total Current Assets was kr0 Mil.
Total Assets was kr31,758 Mil.
Property, Plant and Equipment(Net PPE) was kr488 Mil.
Depreciation, Depletion and Amortization(DDA) was kr40 Mil.
Selling, General, & Admin. Expense(SGA) was kr345 Mil.
Total Current Liabilities was kr0 Mil.
Long-Term Debt & Capital Lease Obligation was kr1,169 Mil.
Net Income was 155.916 + 124.362 + 164.915 + 183.465 = kr629 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = kr0 Mil.
Cash Flow from Operations was 989.073 + 1821.764 + -1354.573 + 812.495 = kr2,269 Mil.
Total Receivables was kr0 Mil.
Revenue was 395.805 + 376.953 + 387.444 + 346.115 = kr1,506 Mil.
Gross Profit was 395.805 + 376.953 + 387.444 + 346.115 = kr1,506 Mil.
Total Current Assets was kr0 Mil.
Total Assets was kr30,570 Mil.
Property, Plant and Equipment(Net PPE) was kr466 Mil.
Depreciation, Depletion and Amortization(DDA) was kr43 Mil.
Selling, General, & Admin. Expense(SGA) was kr299 Mil.
Total Current Liabilities was kr0 Mil.
Long-Term Debt & Capital Lease Obligation was kr975 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 / 1745.83) / (0 / 1506.317)
=0 / 0
=1

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)
=(1506.317 / 1506.317) / (1745.83 / 1745.83)
=1 / 1
=1

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 - (0 + 487.674) / 31757.982) / (1 - (0 + 466.037) / 30570.235)
=0.984644 / 0.984755
=0.9999

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
=1745.83 / 1506.317
=1.159

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))
=(42.934 / (42.934 + 466.037)) / (40.243 / (40.243 + 487.674))
=0.084355 / 0.07623
=1.1066

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)
=(345.331 / 1745.83) / (299.019 / 1506.317)
=0.197803 / 0.19851
=0.9964

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)
=((1168.717 + 0) / 31757.982) / ((975.163 + 0) / 30570.235)
=0.036801 / 0.031899
=1.1537

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
=(628.658 - 0 - 2268.759) / 31757.982
=-0.051644

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.

Sparekassen Sjaelland-Fyn AS has a M-score of -2.62 suggests that the company is unlikely to be a manipulator.


Sparekassen Sjaelland-Fyn AS Beneish M-Score Related Terms

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Sparekassen Sjaelland-Fyn AS Business Description

Traded in Other Exchanges
Address
Isefjords Alle 5, Holbaek, DNK, 4300
Sparekassen Sjaelland-Fyn AS provides banking products and services in Denmark. Its products and services include net banking, commercial insurance, mobile banking, rental of commercial lease, financing, insurance and pension.