Hologic Beneish M-Score Historical Data
The historical data trend for Hologic'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.
Hologic Beneish M-Score Chart
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Hologic Annual Data
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Trend |
Sep14 |
Sep15 |
Sep16 |
Sep17 |
Sep18 |
Sep19 |
Sep20 |
Sep21 |
Sep22 |
Sep23 |
| Beneish M-Score |
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-2.67 |
-2.00 |
-2.62 |
-3.28 |
-2.60 |
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Hologic 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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-3.20 |
-2.62 |
-2.59 |
-2.60 |
-2.58 |
Competitive Comparison of Hologic's Beneish M-Score
For the Medical Instruments & Supplies subindustry, Hologic'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.
Hologic's Beneish M-Score Distribution in the Medical Devices & Instruments Industry
For the Medical Devices & Instruments industry and Healthcare sector, Hologic's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Hologic's Beneish M-Score falls into.
Hologic 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 Hologic 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 * 1.1202 | + | 0.528 * 1.1562 | + | 0.404 * 1.0219 | + | 0.892 * 0.8888 | + | 0.115 * 1.1834 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0515 | + | 4.679 * -0.045741 | - | 0.327 * 0.9972 |
| = | -2.58 |
* 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 $671 Mil.
Revenue was 1013.1 + 945.3 + 984.4 + 1026.5 = $3,969 Mil.
Gross Profit was 567.5 + 500.3 + 367.5 + 585.8 = $2,021 Mil.
Total Current Assets was $3,494 Mil.
Total Assets was $8,470 Mil.
Property, Plant and Equipment(Net PPE) was $527 Mil.
Depreciation, Depletion and Amortization(DDA) was $326 Mil.
Selling, General, & Admin. Expense(SGA) was $976 Mil.
Total Current Liabilities was $899 Mil.
Long-Term Debt & Capital Lease Obligation was $2,537 Mil.
Net Income was 246.5 + 90.6 + -40.5 + 218.5 = $515 Mil.
Non Operating Income was -37.3 + -51 + -40.5 + 13.5 = $-115 Mil.
Cash Flow from Operations was 220 + 258.7 + 332.8 + 206.3 = $1,018 Mil.
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Total Receivables was $674 Mil.
Revenue was 1074.2 + 953.2 + 1002.7 + 1435.7 = $4,466 Mil.
Gross Profit was 617.9 + 514.7 + 549.8 + 946.6 = $2,629 Mil.
Total Current Assets was $4,021 Mil.
Total Assets was $9,290 Mil.
Property, Plant and Equipment(Net PPE) was $494 Mil.
Depreciation, Depletion and Amortization(DDA) was $408 Mil.
Selling, General, & Admin. Expense(SGA) was $1,045 Mil.
Total Current Liabilities was $956 Mil.
Long-Term Debt & Capital Lease Obligation was $2,824 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) |
| = | (670.9 / 3969.3) | / | (673.8 / 4465.8) |
| = | 0.169022 | / | 0.15088 |
| | = | 1.1202 |
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) |
| = | (2629 / 4465.8) | / | (2021.1 / 3969.3) |
| = | 0.588696 | / | 0.509183 |
| | = | 1.1562 |
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 - (3494.2 + 527) / 8469.5) | / | (1 - (4021.2 + 494.3) / 9290.3) |
| = | 0.525214 | / | 0.513955 |
| | = | 1.0219 |
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 |
| = | 3969.3 | / | 4465.8 |
| | = | 0.8888 |
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)) |
| = | (408 / (408 + 494.3)) | / | (325.9 / (325.9 + 527)) |
| = | 0.452178 | / | 0.382108 |
| | = | 1.1834 |
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) |
| = | (976.3 / 3969.3) | / | (1044.6 / 4465.8) |
| = | 0.245963 | / | 0.233911 |
| | = | 1.0515 |
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) |
| = | ((2537.4 + 899) / 8469.5) | / | ((2823.9 + 956.2) / 9290.3) |
| = | 0.405738 | / | 0.406887 |
| | = | 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 |
| = | (515.1 - -115.3 | - | 1017.8) | / | 8469.5 |
| | = | -0.045741 |
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.
Hologic has a M-score of -2.58 suggests that the company is unlikely to be a manipulator.
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