BHP Group Beneish M-Score Historical Data
The historical data trend for BHP Group'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.
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BHP Group Annual Data
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Trend |
Jun14 |
Jun15 |
Jun16 |
Jun17 |
Jun18 |
Jun19 |
Jun20 |
Jun21 |
Jun22 |
Jun23 |
| Beneish M-Score |
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-2.68 |
-2.63 |
-2.69 |
-2.73 |
-2.79 |
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BHP Group Semi-Annual Data
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Jun14 |
Dec14 |
Jun15 |
Dec15 |
Jun16 |
Dec16 |
Jun17 |
Dec17 |
Jun18 |
Dec18 |
Jun19 |
Dec19 |
Jun20 |
Dec20 |
Jun21 |
Dec21 |
Jun22 |
Dec22 |
Jun23 |
Dec23 |
| Beneish M-Score |
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- |
-2.73 |
- |
-2.79 |
- |
Competitive Comparison
For the Other Industrial Metals & Mining subindustry, BHP Group'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.
BHP Group Beneish M-Score Distribution
For the Metals & Mining industry and Basic Materials sector, BHP Group's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where BHP Group's Beneish M-Score falls into.
BHP Group 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 BHP Group 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 * 1.0848 | + | 0.528 * 1.0945 | + | 0.404 * 1.1055 | + | 0.892 * 0.8063 | + | 0.115 * 1.2889 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.263 | + | 4.679 * -0.070358 | - | 0.327 * 1.0462 |
| = | -2.84 |
* 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 (Jun23) TTM: | Last Year (Jun22) TTM: |
Total Receivables was £4,041 Mil.
Revenue was £42,623 Mil.
Gross Profit was £30,020 Mil.
Total Current Assets was £18,494 Mil.
Total Assets was £80,226 Mil.
Property, Plant and Equipment(Net PPE) was £56,880 Mil.
Depreciation, Depletion and Amortization(DDA) was £4,008 Mil.
Selling, General, & Admin. Expense(SGA) was £5,736 Mil.
Total Current Liabilities was £15,082 Mil.
Long-Term Debt & Capital Lease Obligation was £12,016 Mil.
Net Income was £10,233 Mil.
Gross Profit was £1,067 Mil.
Cash Flow from Operations was £14,811 Mil.
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Total Receivables was £4,619 Mil.
Revenue was £52,860 Mil.
Gross Profit was £40,749 Mil.
Total Current Assets was £23,275 Mil.
Total Assets was £77,275 Mil.
Property, Plant and Equipment(Net PPE) was £49,772 Mil.
Depreciation, Depletion and Amortization(DDA) was £4,615 Mil.
Selling, General, & Admin. Expense(SGA) was £5,633 Mil.
Total Current Liabilities was £13,738 Mil.
Long-Term Debt & Capital Lease Obligation was £11,210 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) |
| = | (4040.784 / 42623.064) | / | (4619.468 / 52859.576) |
| = | 0.094803 | / | 0.087391 |
| | = | 1.0848 |
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) |
| = | (40749.408 / 52859.576) | / | (30019.968 / 42623.064) |
| = | 0.770899 | / | 0.704313 |
| | = | 1.0945 |
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 - (18493.992 + 56879.856) / 80226.432) | / | (1 - (23275.168 + 49771.54) / 77274.792) |
| = | 0.060486 | / | 0.054715 |
| | = | 1.1055 |
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 |
| = | 42623.064 | / | 52859.576 |
| | = | 0.8063 |
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)) |
| = | (4614.596 / (4614.596 + 49771.54)) | / | (4008.312 / (4008.312 + 56879.856)) |
| = | 0.084849 | / | 0.065831 |
| | = | 1.2889 |
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) |
| = | (5736.456 / 42623.064) | / | (5632.844 / 52859.576) |
| = | 0.134586 | / | 0.106562 |
| | = | 1.263 |
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) |
| = | ((12016.224 + 15082.056) / 80226.432) | / | ((11210.472 + 13738.228) / 77274.792) |
| = | 0.337772 | / | 0.322857 |
| | = | 1.0462 |
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 |
| = | (10233.432 - 1066.824 | - | 14811.192) | / | 80226.432 |
| | = | -0.070358 |
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.
BHP Group has a M-score of -2.84 suggests that the company is unlikely to be a manipulator.
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