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VEF (OSTO:VEMF SDB P1) Beneish M-Score : 5.44 (As of Jul. 18, 2025)


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What is VEF 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.

Warning Sign:

Beneish M-Score 5.44 higher than -1.78, which implies that the company might have manipulated its financial results.

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

OSTO:VEMF SDB P1' s Beneish M-Score Range Over the Past 10 Years
Min: -3.42   Med: 0.62   Max: 8.94
Current: 5.44

During the past 6 years, the highest Beneish M-Score of VEF was 8.94. The lowest was -3.42. And the median was 0.62.


VEF 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 VEF 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 * 0.4312+0.528 * 1+0.404 * 1.0006+0.892 * 6.9144+0.115 * 0.1447
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * -5.5311+4.679 * 0.487562-0.327 * 0.1095
=5.87

* 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 (Sep21) TTM:Last Year (Sep20) TTM:
Total Receivables was kr2 Mil.
Revenue was 466.664 + 29.044 + 139.432 + 533.332 = kr1,168 Mil.
Gross Profit was 466.664 + 29.044 + 139.432 + 533.332 = kr1,168 Mil.
Total Current Assets was kr0 Mil.
Total Assets was kr4,799 Mil.
Property, Plant and Equipment(Net PPE) was kr1 Mil.
Depreciation, Depletion and Amortization(DDA) was kr1 Mil.
Selling, General, & Admin. Expense(SGA) was kr35 Mil.
Total Current Liabilities was kr0 Mil.
Long-Term Debt & Capital Lease Obligation was kr0 Mil.
Net Income was 447.534 + 4.03 + 130.462 + 505.725 = kr1,088 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = kr0 Mil.
Cash Flow from Operations was -801.1 + 23.46 + -0.077 + -474.539 = kr-1,252 Mil.
Total Receivables was kr1 Mil.
Revenue was 401.203 + 354.86 + -607.031 + 19.959 = kr169 Mil.
Gross Profit was 401.203 + 354.86 + -607.031 + 19.959 = kr169 Mil.
Total Current Assets was kr0 Mil.
Total Assets was kr2,380 Mil.
Property, Plant and Equipment(Net PPE) was kr2 Mil.
Depreciation, Depletion and Amortization(DDA) was kr0 Mil.
Selling, General, & Admin. Expense(SGA) was kr-1 Mil.
Total Current Liabilities was kr0 Mil.
Long-Term Debt & Capital Lease Obligation was kr1 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)
=(1.979 / 1168.472) / (0.664 / 168.991)
=0.001694 / 0.003929
=0.4312

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)
=(168.991 / 168.991) / (1168.472 / 1168.472)
=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 + 1.158) / 4799.408) / (1 - (0 + 1.922) / 2379.933)
=0.999759 / 0.999192
=1.0006

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
=1168.472 / 168.991
=6.9144

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))
=(0.138 / (0.138 + 1.922)) / (0.998 / (0.998 + 1.158))
=0.06699 / 0.462894
=0.1447

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)
=(35.339 / 1168.472) / (-0.924 / 168.991)
=0.030244 / -0.005468
=-5.5311

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)
=((0.147 + 0) / 4799.408) / ((0.673 + 0) / 2379.933)
=3.1E-5 / 0.000283
=0.1095

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
=(1087.751 - 0 - -1252.256) / 4799.408
=0.487562

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.

VEF has a M-score of 5.87 signals that the company is likely to be a manipulator.


VEF Business Description

Traded in Other Exchanges
N/A
Address
2 Church Street, Clarendon House, Hamilton, BMU, HM 11
VEF Ltd is an investment company. The company invests in early and growth-stage fintech companies across emerging and frontier markets. The firm's portfolio includes Konfio, JUMO, FinanZero, and XERPA, among others.