Amedisys Beneish M-Score Historical Data
The historical data trend for Amedisys'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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Amedisys Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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|
|
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-2.77 |
-2.70 |
-2.42 |
-2.41 |
-2.54 |
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Amedisys Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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|
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-2.41 |
-2.42 |
-2.60 |
-2.49 |
-2.54 |
Competitive Comparison
For the Medical Care Facilities subindustry, Amedisys'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.
Amedisys Beneish M-Score Distribution
For the Healthcare Providers & Services industry and Healthcare sector, Amedisys's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Amedisys's Beneish M-Score falls into.
Amedisys 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 Amedisys 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 * 1.0518 | + | 0.528 * 0.9774 | + | 0.404 * 0.9185 | + | 0.892 * 1.0059 | + | 0.115 * 1.3733 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.055 | + | 4.679 * -0.020225 | - | 0.327 * 1.0205 |
| = | -2.54 |
* 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 $335 Mil.
Revenue was 570.788 + 556.237 + 552.968 + 556.389 = $2,236 Mil.
Gross Profit was 249.372 + 244.609 + 255.513 + 241.379 = $991 Mil.
Total Current Assets was $497 Mil.
Total Assets was $2,060 Mil.
Property, Plant and Equipment(Net PPE) was $173 Mil.
Depreciation, Depletion and Amortization(DDA) was $58 Mil.
Selling, General, & Admin. Expense(SGA) was $800 Mil.
Total Current Liabilities was $474 Mil.
Long-Term Debt & Capital Lease Obligation was $425 Mil.
Net Income was 19.322 + 25.96 + -80.275 + 25.246 = $-10 Mil.
Non Operating Income was -8.916 + -2.527 + -93.266 + -0.559 = $-105 Mil.
Cash Flow from Operations was 60.311 + -9.843 + 60.759 + 25.961 = $137 Mil.
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Total Receivables was $317 Mil.
Revenue was 562.064 + 557.988 + 557.89 + 545.257 = $2,223 Mil.
Gross Profit was 244.897 + 235.761 + 241.679 + 240.437 = $963 Mil.
Total Current Assets was $389 Mil.
Total Assets was $1,976 Mil.
Property, Plant and Equipment(Net PPE) was $135 Mil.
Depreciation, Depletion and Amortization(DDA) was $71 Mil.
Selling, General, & Admin. Expense(SGA) was $754 Mil.
Total Current Liabilities was $356 Mil.
Long-Term Debt & Capital Lease Obligation was $489 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) |
| = | (335.173 / 2236.382) | / | (316.785 / 2223.199) |
| = | 0.149873 | / | 0.142491 |
| | = | 1.0518 |
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) |
| = | (962.774 / 2223.199) | / | (990.873 / 2236.382) |
| = | 0.433058 | / | 0.44307 |
| | = | 0.9774 |
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 - (496.935 + 172.584) / 2060.17) | / | (1 - (388.961 + 134.882) / 1976.245) |
| = | 0.675018 | / | 0.73493 |
| | = | 0.9185 |
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 |
| = | 2236.382 | / | 2223.199 |
| | = | 1.0059 |
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)) |
| = | (70.964 / (70.964 + 134.882)) | / | (57.843 / (57.843 + 172.584)) |
| = | 0.344743 | / | 0.251025 |
| | = | 1.3733 |
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) |
| = | (800.231 / 2236.382) | / | (754.058 / 2223.199) |
| = | 0.357824 | / | 0.339177 |
| | = | 1.055 |
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) |
| = | ((424.613 + 473.721) / 2060.17) | / | ((488.924 + 355.529) / 1976.245) |
| = | 0.436048 | / | 0.427302 |
| | = | 1.0205 |
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 |
| = | (-9.747 - -105.268 | - | 137.188) | / | 2060.17 |
| | = | -0.020225 |
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.
Amedisys has a M-score of -2.54 suggests that the company is unlikely to be a manipulator.
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