Cello World Beneish M-Score Historical Data
The historical data trend for Cello World'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.
Cello World Beneish M-Score Chart
|
Cello World Annual Data
|
|
Trend |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
|
- |
- |
-1.91 |
-1.85 |
|
Cello World Semi-Annual Data
|
|
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
- |
- |
-1.91 |
-1.85 |
Competitive Comparison of Cello World's Beneish M-Score
For the Furnishings, Fixtures & Appliances subindustry, Cello World'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.
Cello World's Beneish M-Score Distribution in the Furnishings, Fixtures & Appliances Industry
For the Furnishings, Fixtures & Appliances industry and Consumer Cyclical sector, Cello World's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Cello World's Beneish M-Score falls into.
Cello World 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 Cello World 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 * 1.1745 | + | 0.528 * 0.9538 | + | 0.404 * 0.7177 | + | 0.892 * 1.1133 | + | 0.115 * 1.5439 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * 0.050655 | - | 0.327 * 0.8858 |
| = | -1.85 |
* 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 ₹6,116 Mil.
Revenue was ₹20,003 Mil.
Gross Profit was ₹10,518 Mil.
Total Current Assets was ₹13,232 Mil.
Total Assets was ₹19,718 Mil.
Property, Plant and Equipment(Net PPE) was ₹5,395 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹567 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹5,535 Mil.
Long-Term Debt & Capital Lease Obligation was ₹333 Mil.
Net Income was ₹3,311 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹2,312 Mil.
|
Total Receivables was ₹4,678 Mil.
Revenue was ₹17,967 Mil.
Gross Profit was ₹9,012 Mil.
Total Current Assets was ₹11,399 Mil.
Total Assets was ₹15,517 Mil.
Property, Plant and Equipment(Net PPE) was ₹2,922 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹503 Mil.
Selling, General, & Admin. Expense(SGA) was ₹1,332 Mil.
Total Current Liabilities was ₹5,055 Mil.
Long-Term Debt & Capital Lease Obligation was ₹158 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) |
| = | (6116.328 / 20002.641) | / | (4677.76 / 17966.95) |
| = | 0.305776 | / | 0.260354 |
| | = | 1.1745 |
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) |
| = | (9011.825 / 17966.95) | / | (10518.403 / 20002.641) |
| = | 0.501578 | / | 0.525851 |
| | = | 0.9538 |
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 - (13231.764 + 5394.976) / 19717.839) | / | (1 - (11398.8 + 2921.72) / 15516.92) |
| = | 0.055336 | / | 0.077103 |
| | = | 0.7177 |
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 |
| = | 20002.641 | / | 17966.95 |
| | = | 1.1133 |
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)) |
| = | (503.254 / (503.254 + 2921.72)) | / | (567.46 / (567.46 + 5394.976)) |
| = | 0.146937 | / | 0.095173 |
| | = | 1.5439 |
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) |
| = | (0 / 20002.641) | / | (1331.85 / 17966.95) |
| = | 0 | / | 0.074128 |
| | = | 0 |
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) |
| = | ((333.398 + 5534.64) / 19717.839) | / | ((157.97 + 5054.98) / 15516.92) |
| = | 0.2976 | / | 0.335953 |
| | = | 0.8858 |
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 |
| = | (3310.626 - 0 | - | 2311.813) | / | 19717.839 |
| | = | 0.050655 |
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.
Cello World has a M-score of -1.85 suggests that the company is unlikely to be a manipulator.
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