Nufarm Beneish M-Score Historical Data
The historical data trend for Nufarm'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.
Nufarm Beneish M-Score Chart
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Nufarm Annual Data
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Jul15 |
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Jul20 |
Sep21 |
Sep22 |
Sep23 |
Sep24 |
| Beneish M-Score |
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-2.52 |
- |
-3.01 |
-2.00 |
-2.91 |
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Nufarm Semi-Annual Data
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Jul14 |
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Sep24 |
| Beneish M-Score |
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-3.01 |
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-2.00 |
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-2.91 |
Competitive Comparison of Nufarm's Beneish M-Score
For the Agricultural Inputs subindustry, Nufarm'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.
Nufarm's Beneish M-Score Distribution in the Agriculture Industry
For the Agriculture industry and Basic Materials sector, Nufarm's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Nufarm's Beneish M-Score falls into.
Nufarm 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 Nufarm 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 * 1.0527 | + | 0.528 * 1.1741 | + | 0.404 * 1.0476 | + | 0.892 * 0.9613 | + | 0.115 * 0.9858 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0565 | + | 4.679 * -0.113698 | - | 0.327 * 1.0216 |
| = | -2.91 |
* 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 (Sep24) TTM: | Last Year (Sep23) TTM: |
Total Receivables was A$632 Mil.
Revenue was A$3,346 Mil.
Gross Profit was A$840 Mil.
Total Current Assets was A$2,313 Mil.
Total Assets was A$4,427 Mil.
Property, Plant and Equipment(Net PPE) was A$629 Mil.
Depreciation, Depletion and Amortization(DDA) was A$212 Mil.
Selling, General, & Admin. Expense(SGA) was A$758 Mil.
Total Current Liabilities was A$1,024 Mil.
Long-Term Debt & Capital Lease Obligation was A$1,016 Mil.
Net Income was A$-6 Mil.
Gross Profit was A$25 Mil.
Cash Flow from Operations was A$472 Mil.
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Total Receivables was A$624 Mil.
Revenue was A$3,481 Mil.
Gross Profit was A$1,026 Mil.
Total Current Assets was A$2,574 Mil.
Total Assets was A$4,625 Mil.
Property, Plant and Equipment(Net PPE) was A$569 Mil.
Depreciation, Depletion and Amortization(DDA) was A$188 Mil.
Selling, General, & Admin. Expense(SGA) was A$746 Mil.
Total Current Liabilities was A$873 Mil.
Long-Term Debt & Capital Lease Obligation was A$1,213 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) |
| = | (631.529 / 3345.909) | / | (624.072 / 3480.611) |
| = | 0.188747 | / | 0.1793 |
| | = | 1.0527 |
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) |
| = | (1026.37 / 3480.611) | / | (840.369 / 3345.909) |
| = | 0.294882 | / | 0.251163 |
| | = | 1.1741 |
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 - (2312.687 + 629.221) / 4427.414) | / | (1 - (2574.452 + 569.332) / 4625.067) |
| = | 0.335525 | / | 0.320273 |
| | = | 1.0476 |
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 |
| = | 3345.909 | / | 3480.611 |
| | = | 0.9613 |
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)) |
| = | (188.374 / (188.374 + 569.332)) | / | (212.188 / (212.188 + 629.221)) |
| = | 0.248611 | / | 0.252182 |
| | = | 0.9858 |
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) |
| = | (757.792 / 3345.909) | / | (746.145 / 3480.611) |
| = | 0.226483 | / | 0.214372 |
| | = | 1.0565 |
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) |
| = | ((1016.311 + 1023.667) / 4427.414) | / | ((1213.036 + 872.988) / 4625.067) |
| = | 0.460761 | / | 0.451026 |
| | = | 1.0216 |
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 |
| = | (-5.598 - 25.401 | - | 472.391) | / | 4427.414 |
| | = | -0.113698 |
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.
Nufarm has a M-score of -2.91 suggests that the company is unlikely to be a manipulator.
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