Bigbloc Construction Beneish M-Score Historical Data
The historical data trend for Bigbloc Construction'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.
Bigbloc Construction Beneish M-Score Chart
|
Bigbloc Construction Annual Data
|
|
Trend |
Mar16 |
Mar17 |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
-2.67 |
-2.48 |
-2.42 |
-2.29 |
-2.02 |
|
Bigbloc Construction Quarterly Data
|
|
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
|
|
|
- |
-2.02 |
- |
- |
- |
Competitive Comparison of Bigbloc Construction's Beneish M-Score
For the Building Products & Equipment subindustry, Bigbloc Construction'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.
Bigbloc Construction's Beneish M-Score Distribution in the Construction Industry
For the Construction industry and Industrials sector, Bigbloc Construction's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Bigbloc Construction's Beneish M-Score falls into.
Bigbloc Construction 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 Bigbloc Construction 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 * 1.1508 | + | 0.528 * 1.0111 | + | 0.404 * 0.9507 | + | 0.892 * 1.2155 | + | 0.115 * 0.8903 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0147 | + | 4.679 * 0.03664 | - | 0.327 * 1.0335 |
| = | -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 ₹573 Mil.
Revenue was ₹2,432 Mil.
Gross Profit was ₹1,176 Mil.
Total Current Assets was ₹977 Mil.
Total Assets was ₹2,936 Mil.
Property, Plant and Equipment(Net PPE) was ₹1,862 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹103 Mil.
Selling, General, & Admin. Expense(SGA) was ₹395 Mil.
Total Current Liabilities was ₹794 Mil.
Long-Term Debt & Capital Lease Obligation was ₹1,007 Mil.
Net Income was ₹307 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹199 Mil.
|
Total Receivables was ₹410 Mil.
Revenue was ₹2,001 Mil.
Gross Profit was ₹978 Mil.
Total Current Assets was ₹684 Mil.
Total Assets was ₹1,991 Mil.
Property, Plant and Equipment(Net PPE) was ₹1,237 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹61 Mil.
Selling, General, & Admin. Expense(SGA) was ₹320 Mil.
Total Current Liabilities was ₹537 Mil.
Long-Term Debt & Capital Lease Obligation was ₹645 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) |
| = | (573.222 / 2432.213) | / | (409.805 / 2001.062) |
| = | 0.235679 | / | 0.204794 |
| | = | 1.1508 |
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) |
| = | (978.221 / 2001.062) | / | (1175.9 / 2432.213) |
| = | 0.488851 | / | 0.483469 |
| | = | 1.0111 |
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 - (976.735 + 1861.557) / 2935.816) | / | (1 - (684.318 + 1236.749) / 1990.624) |
| = | 0.033219 | / | 0.034942 |
| | = | 0.9507 |
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 |
| = | 2432.213 | / | 2001.062 |
| | = | 1.2155 |
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)) |
| = | (60.801 / (60.801 + 1236.749)) | / | (103.422 / (103.422 + 1861.557)) |
| = | 0.046858 | / | 0.052633 |
| | = | 0.8903 |
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) |
| = | (394.794 / 2432.213) | / | (320.115 / 2001.062) |
| = | 0.162319 | / | 0.159973 |
| | = | 1.0147 |
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) |
| = | ((1007.279 + 794.401) / 2935.816) | / | ((645.31 + 536.737) / 1990.624) |
| = | 0.61369 | / | 0.593807 |
| | = | 1.0335 |
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 |
| = | (306.883 - 0 | - | 199.316) | / | 2935.816 |
| | = | 0.03664 |
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.
Bigbloc Construction has a M-score of -2.02 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
BOM:540061 has been successfully added to your