Picogram Co Beneish M-Score Historical Data
The historical data trend for Picogram 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.
Picogram Co Beneish M-Score Chart
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Picogram Co Annual Data
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Trend |
Dec20 |
Dec21 |
Dec22 |
| Beneish M-Score |
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- |
- |
- |
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Picogram Co Quarterly Data
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Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.33 |
-2.53 |
-2.45 |
-2.29 |
-2.02 |
Competitive Comparison of Picogram Co's Beneish M-Score
For the Furnishings, Fixtures & Appliances subindustry, Picogram 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.
Picogram Co's Beneish M-Score Distribution in the Furnishings, Fixtures & Appliances Industry
For the Furnishings, Fixtures & Appliances industry and Consumer Cyclical sector, Picogram Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Picogram Co's Beneish M-Score falls into.
Picogram 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 Picogram 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 * 1.4216 | + | 0.528 * 0.9027 | + | 0.404 * 1.1912 | + | 0.892 * 0.9606 | + | 0.115 * 0.5924 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.3282 | + | 4.679 * 0.034551 | - | 0.327 * 0.9444 |
| = | -2.02 |
* 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 ₩4,204 Mil.
Revenue was 7512.659 + 6724.569 + 7567.769 + 6768.676 = ₩28,574 Mil.
Gross Profit was 2782.824 + 2557.098 + 2777.346 + 2438.551 = ₩10,556 Mil.
Total Current Assets was ₩41,509 Mil.
Total Assets was ₩71,462 Mil.
Property, Plant and Equipment(Net PPE) was ₩24,297 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩611 Mil.
Selling, General, & Admin. Expense(SGA) was ₩4,051 Mil.
Total Current Liabilities was ₩14,799 Mil.
Long-Term Debt & Capital Lease Obligation was ₩11,652 Mil.
Net Income was 1010.884 + 3142.643 + -212.064 + 664.648 = ₩4,606 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was 695.186 + 969.117 + -705.473 + 1178.238 = ₩2,137 Mil.
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Total Receivables was ₩3,079 Mil.
Revenue was 6728.409 + 6253.675 + 7712.102 + 9052.259 = ₩29,746 Mil.
Gross Profit was 2317.582 + 1948.602 + 2766.821 + 2887.034 = ₩9,920 Mil.
Total Current Assets was ₩24,979 Mil.
Total Assets was ₩52,918 Mil.
Property, Plant and Equipment(Net PPE) was ₩24,423 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩360 Mil.
Selling, General, & Admin. Expense(SGA) was ₩3,175 Mil.
Total Current Liabilities was ₩20,632 Mil.
Long-Term Debt & Capital Lease Obligation was ₩107 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) |
| = | (4203.904 / 28573.673) | / | (3078.511 / 29746.445) |
| = | 0.147125 | / | 0.103492 |
| | = | 1.4216 |
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) |
| = | (9920.039 / 29746.445) | / | (10555.819 / 28573.673) |
| = | 0.333487 | / | 0.369425 |
| | = | 0.9027 |
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 - (41508.985 + 24296.795) / 71461.633) | / | (1 - (24978.892 + 24422.836) / 52917.66) |
| = | 0.079145 | / | 0.066442 |
| | = | 1.1912 |
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 |
| = | 28573.673 | / | 29746.445 |
| | = | 0.9606 |
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)) |
| = | (360.119 / (360.119 + 24422.836)) | / | (610.922 / (610.922 + 24296.795)) |
| = | 0.014531 | / | 0.024527 |
| | = | 0.5924 |
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) |
| = | (4050.653 / 28573.673) | / | (3174.827 / 29746.445) |
| = | 0.141762 | / | 0.10673 |
| | = | 1.3282 |
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) |
| = | ((11651.713 + 14798.629) / 71461.633) | / | ((107.354 + 20631.921) / 52917.66) |
| = | 0.370133 | / | 0.391916 |
| | = | 0.9444 |
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 |
| = | (4606.111 - 0 | - | 2137.068) | / | 71461.633 |
| | = | 0.034551 |
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.
Picogram Co has a M-score of -2.02 suggests that the company is unlikely to be a manipulator.
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