Acrel Co Beneish M-Score Historical Data
The historical data trend for Acrel Co'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.
Acrel Co Beneish M-Score Chart
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Acrel Co Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.85 |
-1.26 |
-1.97 |
-2.33 |
-2.87 |
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Acrel Co Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.39 |
-2.42 |
-2.34 |
-2.87 |
-3.14 |
Competitive Comparison of Acrel Co's Beneish M-Score
For the Electrical Equipment & Parts subindustry, Acrel Co'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.
Acrel Co's Beneish M-Score Distribution in the Industrial Products Industry
For the Industrial Products industry and Industrials sector, Acrel Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Acrel Co's Beneish M-Score falls into.
Acrel Co 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 Acrel Co 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 * 0.7474 | + | 0.528 * 1.0068 | + | 0.404 * 1.0482 | + | 0.892 * 1.0885 | + | 0.115 * 1 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.972 | + | 4.679 * -0.114381 | - | 0.327 * 0.9912 |
| = | -3.14 |
* 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 ¥412 Mil.
Revenue was 241.851 + 246.814 + 337.453 + 307.704 = ¥1,134 Mil.
Gross Profit was 113.734 + 102.216 + 158.548 + 150.402 = ¥525 Mil.
Total Current Assets was ¥1,363 Mil.
Total Assets was ¥1,766 Mil.
Property, Plant and Equipment(Net PPE) was ¥216 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥173 Mil.
Total Current Liabilities was ¥411 Mil.
Long-Term Debt & Capital Lease Obligation was ¥0 Mil.
Net Income was 45.24 + 27.527 + 73.422 + 58.635 = ¥205 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was 52.81 + 186.086 + 64.356 + 103.614 = ¥407 Mil.
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Total Receivables was ¥506 Mil.
Revenue was 230.182 + 245.735 + 278.858 + 286.899 = ¥1,042 Mil.
Gross Profit was 109.37 + 115.072 + 127.089 + 134.004 = ¥486 Mil.
Total Current Assets was ¥1,188 Mil.
Total Assets was ¥1,569 Mil.
Property, Plant and Equipment(Net PPE) was ¥223 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥163 Mil.
Total Current Liabilities was ¥369 Mil.
Long-Term Debt & Capital Lease Obligation was ¥0 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) |
| = | (411.732 / 1133.822) | / | (506.141 / 1041.674) |
| = | 0.363136 | / | 0.485892 |
| | = | 0.7474 |
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) |
| = | (485.535 / 1041.674) | / | (524.9 / 1133.822) |
| = | 0.46611 | / | 0.462947 |
| | = | 1.0068 |
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 - (1362.865 + 216.482) / 1766.4) | / | (1 - (1187.556 + 222.826) / 1568.884) |
| = | 0.105895 | / | 0.101029 |
| | = | 1.0482 |
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 |
| = | 1133.822 | / | 1041.674 |
| | = | 1.0885 |
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)) |
| = | (0 / (0 + 222.826)) | / | (0 / (0 + 216.482)) |
| = | 0 | / | 0 |
| | = | 1 |
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) |
| = | (172.854 / 1133.822) | / | (163.384 / 1041.674) |
| = | 0.152453 | / | 0.156848 |
| | = | 0.972 |
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) |
| = | ((0 + 411.24) / 1766.4) | / | ((0 + 368.51) / 1568.884) |
| = | 0.232813 | / | 0.234887 |
| | = | 0.9912 |
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 |
| = | (204.824 - 0 | - | 406.866) | / | 1766.4 |
| | = | -0.114381 |
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.
Acrel Co has a M-score of -3.14 suggests that the company is unlikely to be a manipulator.
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