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Sanlam Kenya (NAI:SLAM) Beneish M-Score : -2.46 (As of Jun. 16, 2024)


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What is Sanlam Kenya 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 -2.46 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

NAI:SLAM' s Beneish M-Score Range Over the Past 10 Years
Min: -9.15   Med: -2.72   Max: -1.66
Current: -2.46

During the past 13 years, the highest Beneish M-Score of Sanlam Kenya was -1.66. The lowest was -9.15. And the median was -2.72.


Sanlam Kenya 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 Sanlam Kenya 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 * 1.1857+0.528 * 1+0.404 * 1.0036+0.892 * 0.8912+0.115 * 0.785
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6687+4.679 * 6.1E-5-0.327 * 1.2551
=-2.46

* 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 (Dec22) TTM:Last Year (Dec21) TTM:
Total Receivables was KES1,436 Mil.
Revenue was KES10,925 Mil.
Gross Profit was KES10,925 Mil.
Total Current Assets was KES0 Mil.
Total Assets was KES37,139 Mil.
Property, Plant and Equipment(Net PPE) was KES644 Mil.
Depreciation, Depletion and Amortization(DDA) was KES160 Mil.
Selling, General, & Admin. Expense(SGA) was KES156 Mil.
Total Current Liabilities was KES0 Mil.
Long-Term Debt & Capital Lease Obligation was KES4,168 Mil.
Net Income was KES-11 Mil.
Gross Profit was KES111 Mil.
Cash Flow from Operations was KES-124 Mil.
Total Receivables was KES1,359 Mil.
Revenue was KES12,259 Mil.
Gross Profit was KES12,259 Mil.
Total Current Assets was KES0 Mil.
Total Assets was KES34,684 Mil.
Property, Plant and Equipment(Net PPE) was KES723 Mil.
Depreciation, Depletion and Amortization(DDA) was KES134 Mil.
Selling, General, & Admin. Expense(SGA) was KES263 Mil.
Total Current Liabilities was KES0 Mil.
Long-Term Debt & Capital Lease Obligation was KES3,101 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)
=(1435.53 / 10924.677) / (1358.541 / 12259.041)
=0.131403 / 0.11082
=1.1857

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)
=(12259.041 / 12259.041) / (10924.677 / 10924.677)
=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 + 643.798) / 37138.956) / (1 - (0 + 723.04) / 34683.937)
=0.982665 / 0.979153
=1.0036

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
=10924.677 / 12259.041
=0.8912

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))
=(133.865 / (133.865 + 723.04)) / (159.956 / (159.956 + 643.798))
=0.156219 / 0.199011
=0.785

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)
=(156.449 / 10924.677) / (262.547 / 12259.041)
=0.014321 / 0.021417
=0.6687

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)
=((4167.779 + 0) / 37138.956) / ((3101.209 + 0) / 34683.937)
=0.112221 / 0.089413
=1.2551

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
=(-11.357 - 110.51 - -124.14) / 37138.956
=6.1E-5

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.

Sanlam Kenya has a M-score of -2.46 suggests that the company is unlikely to be a manipulator.


Sanlam Kenya Beneish M-Score Related Terms

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Sanlam Kenya (NAI:SLAM) Business Description

Traded in Other Exchanges
N/A
Address
Sanlam Tower, Waiyaki Way, P.O Box 44041, Westlands, Nairobi, KEN, 00100
Sanlam Kenya PLC is engaged in the underwriting of all classes of long-term and short-term insurance businesses through its subsidiaries. The reporting business segments of the company are the Ordinary life insurance segment offers individual life insurance products; the Superannuation segment deals with group insurance schemes; the General insurance segment offers general insurance products, and the Investments segment provides investment management services. The company generates all its revenue from Kenya.