Carlisle Beneish M-Score Historical Data
The historical data trend for Carlisle'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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Carlisle 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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|
|
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-2.56 |
-3.03 |
-2.03 |
-2.59 |
-2.93 |
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Carlisle 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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-2.59 |
-2.78 |
-2.92 |
-3.28 |
-2.93 |
Competitive Comparison
For the Building Products & Equipment subindustry, Carlisle'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.
Carlisle Beneish M-Score Distribution
For the Construction industry and Industrials sector, Carlisle's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Carlisle's Beneish M-Score falls into.
Carlisle 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 Carlisle 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 * 1.1622 | + | 0.528 * 0.9595 | + | 0.404 * 0.6375 | + | 0.892 * 0.8604 | + | 0.115 * 1.2371 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1591 | + | 4.679 * -0.065891 | - | 0.327 * 0.9972 |
| = | -2.93 |
* 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 $615 Mil.
Revenue was 1127.5 + 1259.8 + 1525.9 + 1178.8 = $5,092 Mil.
Gross Profit was 419.7 + 466.1 + 530.2 + 346.7 = $1,763 Mil.
Total Current Assets was $3,408 Mil.
Total Assets was $6,620 Mil.
Property, Plant and Equipment(Net PPE) was $655 Mil.
Depreciation, Depletion and Amortization(DDA) was $205 Mil.
Selling, General, & Admin. Expense(SGA) was $697 Mil.
Total Current Liabilities was $1,186 Mil.
Long-Term Debt & Capital Lease Obligation was $1,922 Mil.
Net Income was 205.5 + 265.6 + 194.6 + 101.7 = $767 Mil.
Non Operating Income was 1.9 + -0.6 + -0.2 + 1.2 = $2 Mil.
Cash Flow from Operations was 388.9 + 441.7 + 221.1 + 149.6 = $1,201 Mil.
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Total Receivables was $615 Mil.
Revenue was 1149.9 + 1497 + 1774.9 + 1496.3 = $5,918 Mil.
Gross Profit was 355.5 + 514.5 + 604.8 + 490.9 = $1,966 Mil.
Total Current Assets was $2,245 Mil.
Total Assets was $7,222 Mil.
Property, Plant and Equipment(Net PPE) was $602 Mil.
Depreciation, Depletion and Amortization(DDA) was $251 Mil.
Selling, General, & Admin. Expense(SGA) was $699 Mil.
Total Current Liabilities was $1,078 Mil.
Long-Term Debt & Capital Lease Obligation was $2,322 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) |
| = | (615.3 / 5092) | / | (615.3 / 5918.1) |
| = | 0.120837 | / | 0.103969 |
| | = | 1.1622 |
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) |
| = | (1965.7 / 5918.1) | / | (1762.7 / 5092) |
| = | 0.332151 | / | 0.34617 |
| | = | 0.9595 |
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 - (3408.1 + 655.2) / 6620) | / | (1 - (2245 + 602) / 7222) |
| = | 0.386208 | / | 0.605788 |
| | = | 0.6375 |
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 |
| = | 5092 | / | 5918.1 |
| | = | 0.8604 |
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)) |
| = | (251.3 / (251.3 + 602)) | / | (204.7 / (204.7 + 655.2)) |
| = | 0.294504 | / | 0.238051 |
| | = | 1.2371 |
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) |
| = | (697.4 / 5092) | / | (699.3 / 5918.1) |
| = | 0.13696 | / | 0.118163 |
| | = | 1.1591 |
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) |
| = | ((1921.5 + 1186.3) / 6620) | / | ((2321.5 + 1078.4) / 7222) |
| = | 0.469456 | / | 0.47077 |
| | = | 0.9972 |
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 |
| = | (767.4 - 2.3 | - | 1201.3) | / | 6620 |
| | = | -0.065891 |
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.
Carlisle has a M-score of -2.93 suggests that the company is unlikely to be a manipulator.
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