Schlumberger Beneish M-Score Historical Data
The historical data trend for Schlumberger'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.
Schlumberger Beneish M-Score Chart
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Schlumberger Annual Data
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Trend |
Dec15 |
Dec16 |
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Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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-2.90 |
-2.90 |
-2.38 |
-2.60 |
-2.64 |
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Schlumberger Quarterly Data
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Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
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Sep22 |
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Mar23 |
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Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
Mar25 |
| Beneish M-Score |
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-2.65 |
-2.57 |
-2.70 |
-2.64 |
-2.67 |
Competitive Comparison of Schlumberger's Beneish M-Score
For the Oil & Gas Equipment & Services subindustry, Schlumberger'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.
Schlumberger's Beneish M-Score Distribution in the Oil & Gas Industry
For the Oil & Gas industry and Energy sector, Schlumberger's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Schlumberger's Beneish M-Score falls into.
Schlumberger 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 Schlumberger 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 * 0.5786 | + | 0.528 * 0.9742 | + | 0.404 * 0.9811 | + | 0.892 * 2.2884 | + | 0.115 * 0.6458 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8202 | + | 4.679 * -0.040901 | - | 0.327 * 1.057 |
| = | -1.96 |
* 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 (Mar25) TTM: | Last Year (Mar24) TTM: |
Total Receivables was ARS9,172,182 Mil.
Revenue was 9050653.598 + 9376840.094 + 8705629.117 + 8183974.383 = ARS35,317,097 Mil.
Gross Profit was 1712055.321 + 1980610.02 + 1826860.92 + 1680853.476 = ARS7,200,380 Mil.
Total Current Assets was ARS19,822,957 Mil.
Total Assets was ARS52,237,942 Mil.
Property, Plant and Equipment(Net PPE) was ARS7,887,607 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS1,869,784 Mil.
Selling, General, & Admin. Expense(SGA) was ARS352,862 Mil.
Total Current Liabilities was ARS16,028,931 Mil.
Long-Term Debt & Capital Lease Obligation was ARS11,222,171 Mil.
Net Income was 849631.439 + 1105950.011 + 1127292.95 + 995795.986 = ARS4,078,670 Mil.
Non Operating Income was -174830.058 + -218160.002 + -51326.998 + -71639.999 = ARS-515,957 Mil.
Cash Flow from Operations was 703584.379 + 2413900.024 + 2327774.398 + 1285937.982 = ARS6,731,197 Mil.
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Total Receivables was ARS6,927,035 Mil.
Revenue was 7335647.625 + 3245390.003 + 2908084.58 + 1943759.984 = ARS15,432,882 Mil.
Gross Profit was 1432250.024 + 648356.001 + 601214.117 + 383279.997 = ARS3,065,100 Mil.
Total Current Assets was ARS14,912,250 Mil.
Total Assets was ARS40,318,681 Mil.
Property, Plant and Equipment(Net PPE) was ARS6,110,653 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS862,977 Mil.
Selling, General, & Admin. Expense(SGA) was ARS187,984 Mil.
Total Current Liabilities was ARS10,850,558 Mil.
Long-Term Debt & Capital Lease Obligation was ARS9,048,450 Mil.
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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) |
| = | (9172181.809 / 35317097.192) | / | (6927035.118 / 15432882.192) |
| = | 0.259709 | / | 0.448849 |
| | = | 0.5786 |
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) |
| = | (3065100.139 / 15432882.192) | / | (7200379.737 / 35317097.192) |
| = | 0.198608 | / | 0.203878 |
| | = | 0.9742 |
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 - (19822956.85 + 7887607.299) / 52237942.003) | / | (1 - (14912250.254 + 6110652.604) / 40318680.685) |
| = | 0.469532 | / | 0.478582 |
| | = | 0.9811 |
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 |
| = | 35317097.192 | / | 15432882.192 |
| | = | 2.2884 |
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)) |
| = | (862977.064 / (862977.064 + 6110652.604)) | / | (1869784.105 / (1869784.105 + 7887607.299)) |
| = | 0.123749 | / | 0.191627 |
| | = | 0.6458 |
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) |
| = | (352861.542 / 35317097.192) | / | (187984.453 / 15432882.192) |
| = | 0.009991 | / | 0.012181 |
| | = | 0.8202 |
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) |
| = | ((11222170.839 + 16028931.39) / 52237942.003) | / | ((9048450.154 + 10850557.684) / 40318680.685) |
| = | 0.521673 | / | 0.493543 |
| | = | 1.057 |
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 |
| = | (4078670.386 - -515957.057 | - | 6731196.783) | / | 52237942.003 |
| | = | -0.040901 |
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.
Schlumberger has a M-score of -1.96 suggests that the company is unlikely to be a manipulator.
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