Regis Resources Beneish M-Score Historical Data
The historical data trend for Regis Resources'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.
Regis Resources Beneish M-Score Chart
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Regis Resources Annual Data
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Trend |
Jun14 |
Jun15 |
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Jun18 |
Jun19 |
Jun20 |
Jun21 |
Jun22 |
Jun23 |
| Beneish M-Score |
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-2.72 |
-3.16 |
-2.02 |
-0.81 |
-3.92 |
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Regis Resources Semi-Annual Data
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Jun14 |
Dec14 |
Jun15 |
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Dec17 |
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Dec18 |
Jun19 |
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Jun22 |
Dec22 |
Jun23 |
Dec23 |
| Beneish M-Score |
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-0.81 |
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-3.92 |
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Competitive Comparison of Regis Resources's Beneish M-Score
For the Gold subindustry, Regis Resources'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.
Regis Resources's Beneish M-Score Distribution in the Metals & Mining Industry
For the Metals & Mining industry and Basic Materials sector, Regis Resources's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Regis Resources's Beneish M-Score falls into.
Regis Resources 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 Regis Resources 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 * 0.9498 | + | 0.528 * 0.1893 | + | 0.404 * 0.5905 | + | 0.892 * 1.066 | + | 0.115 * 0.2715 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.3274 | + | 4.679 * -0.202083 | - | 0.327 * 0.9824 |
| = | -3.97 |
* 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 $9.3 Mil.
Revenue was $760.9 Mil.
Gross Profit was $277.7 Mil.
Total Current Assets was $287.6 Mil.
Total Assets was $1,592.4 Mil.
Property, Plant and Equipment(Net PPE) was $1,217.8 Mil.
Depreciation, Depletion and Amortization(DDA) was $258.5 Mil.
Selling, General, & Admin. Expense(SGA) was $4.6 Mil.
Total Current Liabilities was $296.5 Mil.
Long-Term Debt & Capital Lease Obligation was $44.0 Mil.
Net Income was $-16.3 Mil.
Gross Profit was $0.1 Mil.
Cash Flow from Operations was $305.3 Mil.
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Total Receivables was $9.2 Mil.
Revenue was $713.8 Mil.
Gross Profit was $49.3 Mil.
Total Current Assets was $261.7 Mil.
Total Assets was $1,636.9 Mil.
Property, Plant and Equipment(Net PPE) was $1,223.8 Mil.
Depreciation, Depletion and Amortization(DDA) was $61.1 Mil.
Selling, General, & Admin. Expense(SGA) was $13.1 Mil.
Total Current Liabilities was $129.6 Mil.
Long-Term Debt & Capital Lease Obligation was $226.7 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) |
| = | (9.315 / 760.894) | / | (9.2 / 713.772) |
| = | 0.012242 | / | 0.012889 |
| | = | 0.9498 |
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) |
| = | (49.314 / 713.772) | / | (277.694 / 760.894) |
| = | 0.069089 | / | 0.364958 |
| | = | 0.1893 |
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 - (287.614 + 1217.772) / 1592.35) | / | (1 - (261.726 + 1223.755) / 1636.874) |
| = | 0.054614 | / | 0.092489 |
| | = | 0.5905 |
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 |
| = | 760.894 | / | 713.772 |
| | = | 1.066 |
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)) |
| = | (61.093 / (61.093 + 1223.755)) | / | (258.536 / (258.536 + 1217.772)) |
| = | 0.047549 | / | 0.175123 |
| | = | 0.2715 |
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) |
| = | (4.581 / 760.894) | / | (13.125 / 713.772) |
| = | 0.006021 | / | 0.018388 |
| | = | 0.3274 |
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) |
| = | ((44.015 + 296.46) / 1592.35) | / | ((226.654 + 129.616) / 1636.874) |
| = | 0.213819 | / | 0.217653 |
| | = | 0.9824 |
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 |
| = | (-16.331 - 0.13 | - | 305.326) | / | 1592.35 |
| | = | -0.202083 |
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.
Regis Resources has a M-score of -3.97 suggests that the company is unlikely to be a manipulator.
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