Seed Co Beneish M-Score Historical Data
The historical data trend for Seed 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.
Seed Co Beneish M-Score Chart
|
Seed Co Annual Data
|
|
Trend |
Mar09 |
Mar11 |
Mar12 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
14.71 |
-1.94 |
15.56 |
-1.68 |
1.75 |
|
Seed Co Semi-Annual Data
|
|
Mar09 |
Mar11 |
Sep11 |
Mar12 |
Sep12 |
Mar19 |
Sep19 |
Mar20 |
Sep20 |
Mar21 |
Sep21 |
Mar22 |
Sep22 |
Mar23 |
Sep23 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
- |
-1.68 |
- |
1.75 |
- |
Competitive Comparison of Seed Co's Beneish M-Score
For the Agricultural Inputs subindustry, Seed 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.
Seed Co's Beneish M-Score Distribution in the Agriculture Industry
For the Agriculture industry and Basic Materials sector, Seed Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Seed Co's Beneish M-Score falls into.
Seed 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 Seed 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 * 4.7822 | + | 0.528 * 0.8098 | + | 0.404 * 0.8112 | + | 0.892 * 1.565 | + | 0.115 * 1.2376 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9838 | + | 4.679 * 0.108824 | - | 0.327 * 1.3445 |
| = | 1.75 |
* 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 (Mar23) TTM: | Last Year (Mar22) TTM: |
Total Receivables was ZWL32,242 Mil.
Revenue was ZWL42,653 Mil.
Gross Profit was ZWL17,453 Mil.
Total Current Assets was ZWL69,635 Mil.
Total Assets was ZWL132,327 Mil.
Property, Plant and Equipment(Net PPE) was ZWL37,167 Mil.
Depreciation, Depletion and Amortization(DDA) was ZWL1,441 Mil.
Selling, General, & Admin. Expense(SGA) was ZWL9,331 Mil.
Total Current Liabilities was ZWL28,253 Mil.
Long-Term Debt & Capital Lease Obligation was ZWL8,453 Mil.
Net Income was ZWL15,792 Mil.
Gross Profit was ZWL0 Mil.
Cash Flow from Operations was ZWL1,392 Mil.
|
Total Receivables was ZWL4,308 Mil.
Revenue was ZWL27,255 Mil.
Gross Profit was ZWL9,031 Mil.
Total Current Assets was ZWL24,269 Mil.
Total Assets was ZWL56,117 Mil.
Property, Plant and Equipment(Net PPE) was ZWL18,504 Mil.
Depreciation, Depletion and Amortization(DDA) was ZWL896 Mil.
Selling, General, & Admin. Expense(SGA) was ZWL6,061 Mil.
Total Current Liabilities was ZWL7,352 Mil.
Long-Term Debt & Capital Lease Obligation was ZWL4,226 Mil.
|
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) |
| = | (32241.74 / 42653.218) | / | (4308.096 / 27255.076) |
| = | 0.755904 | / | 0.158066 |
| | = | 4.7822 |
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) |
| = | (9030.94 / 27255.076) | / | (17452.814 / 42653.218) |
| = | 0.331349 | / | 0.409179 |
| | = | 0.8098 |
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 - (69635.359 + 37166.859) / 132326.744) | / | (1 - (24269.231 + 18504.093) / 56117.402) |
| = | 0.19289 | / | 0.237789 |
| | = | 0.8112 |
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 |
| = | 42653.218 | / | 27255.076 |
| | = | 1.565 |
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)) |
| = | (896.189 / (896.189 + 18504.093)) | / | (1441.065 / (1441.065 + 37166.859)) |
| = | 0.046195 | / | 0.037326 |
| | = | 1.2376 |
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) |
| = | (9330.833 / 42653.218) | / | (6060.776 / 27255.076) |
| = | 0.21876 | / | 0.222372 |
| | = | 0.9838 |
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) |
| = | ((8453.289 + 28253.351) / 132326.744) | / | ((4225.998 + 7352.073) / 56117.402) |
| = | 0.277394 | / | 0.206319 |
| | = | 1.3445 |
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 |
| = | (15792.27 - 0 | - | 1391.879) | / | 132326.744 |
| | = | 0.108824 |
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.
Seed Co has a M-score of 1.75 signals that the company is likely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
XZIM:SEED.ZW has been successfully added to your