AMP Beneish M-Score Historical Data
The historical data trend for AMP'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.
AMP Beneish M-Score Chart
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AMP Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-0.72 |
-4.12 |
-3.03 |
-2.67 |
-2.63 |
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AMP 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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-3.03 |
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-2.67 |
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-2.63 |
Competitive Comparison of AMP's Beneish M-Score
For the Financial Conglomerates subindustry, AMP'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.
AMP's Beneish M-Score Distribution in the Diversified Financial Services Industry
For the Diversified Financial Services industry and Financial Services sector, AMP's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where AMP's Beneish M-Score falls into.
AMP 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 AMP 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 * 0.8145 | + | 0.528 * 1 | + | 0.404 * 1.0581 | + | 0.892 * 0.9504 | + | 0.115 * 1.0742 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9909 | + | 4.679 * 0.005018 | - | 0.327 * 1.0063 |
| = | -2.64 |
* 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 (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was $223.6 Mil.
Revenue was $918.3 Mil.
Gross Profit was $918.3 Mil.
Total Current Assets was $4,836.0 Mil.
Total Assets was $22,674.7 Mil.
Property, Plant and Equipment(Net PPE) was $220.2 Mil.
Depreciation, Depletion and Amortization(DDA) was $46.9 Mil.
Selling, General, & Admin. Expense(SGA) was $388.9 Mil.
Total Current Liabilities was $692.8 Mil.
Long-Term Debt & Capital Lease Obligation was $19,356.1 Mil.
Net Income was $177.4 Mil.
Gross Profit was $133.9 Mil.
Cash Flow from Operations was $-70.3 Mil.
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Total Receivables was $288.8 Mil.
Revenue was $966.3 Mil.
Gross Profit was $966.3 Mil.
Total Current Assets was $5,978.4 Mil.
Total Assets was $23,574.9 Mil.
Property, Plant and Equipment(Net PPE) was $284.8 Mil.
Depreciation, Depletion and Amortization(DDA) was $66.1 Mil.
Selling, General, & Admin. Expense(SGA) was $413.0 Mil.
Total Current Liabilities was $787.4 Mil.
Long-Term Debt & Capital Lease Obligation was $19,926.5 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) |
| = | (223.561 / 918.34) | / | (288.799 / 966.262) |
| = | 0.24344 | / | 0.298883 |
| | = | 0.8145 |
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) |
| = | (966.262 / 966.262) | / | (918.34 / 918.34) |
| = | 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 - (4836.011 + 220.214) / 22674.699) | / | (1 - (5978.408 + 284.75) / 23574.899) |
| = | 0.77701 | / | 0.734329 |
| | = | 1.0581 |
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 |
| = | 918.34 | / | 966.262 |
| | = | 0.9504 |
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)) |
| = | (66.127 / (66.127 + 284.75)) | / | (46.854 / (46.854 + 220.214)) |
| = | 0.188462 | / | 0.175438 |
| | = | 1.0742 |
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) |
| = | (388.889 / 918.34) | / | (412.955 / 966.262) |
| = | 0.42347 | / | 0.427374 |
| | = | 0.9909 |
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) |
| = | ((19356.091 + 692.771) / 22674.699) | / | ((19926.451 + 787.449) / 23574.899) |
| = | 0.884195 | / | 0.878642 |
| | = | 1.0063 |
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 |
| = | (177.376 - 133.869 | - | -70.281) | / | 22674.699 |
| | = | 0.005018 |
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.
AMP has a M-score of -2.64 suggests that the company is unlikely to be a manipulator.
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