Sensata Technologies Holding Beneish M-Score Historical Data
The historical data trend for Sensata Technologies Holding'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.
Sensata Technologies Holding Beneish M-Score Chart
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Sensata Technologies Holding Annual Data
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Dec14 |
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Dec23 |
| Beneish M-Score |
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-2.68 |
-2.68 |
-2.43 |
-2.40 |
-2.45 |
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Sensata Technologies Holding Quarterly Data
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Jun19 |
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Mar24 |
| Beneish M-Score |
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-2.43 |
-2.47 |
-2.50 |
-2.45 |
-2.48 |
Competitive Comparison of Sensata Technologies Holding's Beneish M-Score
For the Scientific & Technical Instruments subindustry, Sensata Technologies Holding'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.
Sensata Technologies Holding's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Sensata Technologies Holding's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Sensata Technologies Holding's Beneish M-Score falls into.
Sensata Technologies Holding 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 Sensata Technologies Holding 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 * 0.9977 | + | 0.528 * 1.063 | + | 0.404 * 1.0248 | + | 0.892 * 1.0027 | + | 0.115 * 0.972 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9737 | + | 4.679 * -0.011635 | - | 0.327 * 0.9639 |
| = | -2.48 |
* 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 (Mar24) TTM: | Last Year (Mar23) TTM: |
Total Receivables was $760 Mil.
Revenue was 1006.709 + 992.494 + 1001.302 + 1062.112 = $4,063 Mil.
Gross Profit was 317.449 + 290.207 + 313.343 + 330.004 = $1,251 Mil.
Total Current Assets was $2,099 Mil.
Total Assets was $7,616 Mil.
Property, Plant and Equipment(Net PPE) was $884 Mil.
Depreciation, Depletion and Amortization(DDA) was $307 Mil.
Selling, General, & Admin. Expense(SGA) was $353 Mil.
Total Current Liabilities was $794 Mil.
Long-Term Debt & Capital Lease Obligation was $3,398 Mil.
Net Income was 76.021 + -202.238 + 62.801 + 49.111 = $-14 Mil.
Non Operating Income was -12.326 + -323.141 + -24.687 + -31.811 = $-392 Mil.
Cash Flow from Operations was 106.487 + 105.098 + 138.935 + 115.754 = $466 Mil.
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Total Receivables was $760 Mil.
Revenue was 998.175 + 1014.676 + 1018.268 + 1020.548 = $4,052 Mil.
Gross Profit was 327.704 + 340.846 + 323.733 + 333.945 = $1,326 Mil.
Total Current Assets was $2,640 Mil.
Total Assets was $8,585 Mil.
Property, Plant and Equipment(Net PPE) was $848 Mil.
Depreciation, Depletion and Amortization(DDA) was $284 Mil.
Selling, General, & Admin. Expense(SGA) was $361 Mil.
Total Current Liabilities was $1,109 Mil.
Long-Term Debt & Capital Lease Obligation was $3,793 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) |
| = | (760.092 / 4062.617) | / | (759.752 / 4051.667) |
| = | 0.187094 | / | 0.187516 |
| | = | 0.9977 |
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) |
| = | (1326.228 / 4051.667) | / | (1251.003 / 4062.617) |
| = | 0.327329 | / | 0.30793 |
| | = | 1.063 |
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 - (2098.52 + 883.851) / 7615.95) | / | (1 - (2640.195 + 848.033) / 8584.854) |
| = | 0.608405 | / | 0.593676 |
| | = | 1.0248 |
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 |
| = | 4062.617 | / | 4051.667 |
| | = | 1.0027 |
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)) |
| = | (283.795 / (283.795 + 848.033)) | / | (307.281 / (307.281 + 883.851)) |
| = | 0.25074 | / | 0.257974 |
| | = | 0.972 |
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) |
| = | (352.551 / 4062.617) | / | (361.114 / 4051.667) |
| = | 0.086779 | / | 0.089127 |
| | = | 0.9737 |
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) |
| = | ((3398.098 + 793.969) / 7615.95) | / | ((3793.098 + 1109.466) / 8584.854) |
| = | 0.550433 | / | 0.571071 |
| | = | 0.9639 |
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 |
| = | (-14.305 - -391.965 | - | 466.274) | / | 7615.95 |
| | = | -0.011635 |
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.
Sensata Technologies Holding has a M-score of -2.48 suggests that the company is unlikely to be a manipulator.
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