Markolines Pavement Technologies Beneish M-Score Historical Data
The historical data trend for Markolines Pavement Technologies'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.
Markolines Pavement Technologies Beneish M-Score Chart
|
Markolines Pavement Technologies Annual Data
|
|
Trend |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
- |
-2.16 |
-1.31 |
0.61 |
-1.24 |
|
Markolines Pavement Technologies Semi-Annual Data
|
|
Mar19 |
Mar20 |
Sep20 |
Mar21 |
Sep21 |
Mar22 |
Sep22 |
Mar23 |
Sep23 |
Mar24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
-1.31 |
- |
0.61 |
- |
-1.24 |
Competitive Comparison of Markolines Pavement Technologies's Beneish M-Score
For the Infrastructure Operations subindustry, Markolines Pavement Technologies'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.
Markolines Pavement Technologies's Beneish M-Score Distribution in the Construction Industry
For the Construction industry and Industrials sector, Markolines Pavement Technologies's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Markolines Pavement Technologies's Beneish M-Score falls into.
Markolines Pavement Technologies 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 Markolines Pavement Technologies 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 * 1.535 | + | 0.528 * 1.3125 | + | 0.404 * 0.8429 | + | 0.892 * 1.1138 | + | 0.115 * 0.6733 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * 0.098077 | - | 0.327 * 1.1467 |
| = | -1.24 |
* 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 ₹1,301 Mil.
Revenue was ₹3,473 Mil.
Gross Profit was ₹2,377 Mil.
Total Current Assets was ₹2,234 Mil.
Total Assets was ₹2,644 Mil.
Property, Plant and Equipment(Net PPE) was ₹291 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹50 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹1,417 Mil.
Long-Term Debt & Capital Lease Obligation was ₹205 Mil.
Net Income was ₹170 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-89 Mil.
|
Total Receivables was ₹761 Mil.
Revenue was ₹3,118 Mil.
Gross Profit was ₹2,801 Mil.
Total Current Assets was ₹1,573 Mil.
Total Assets was ₹1,880 Mil.
Property, Plant and Equipment(Net PPE) was ₹207 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹23 Mil.
Selling, General, & Admin. Expense(SGA) was ₹40 Mil.
Total Current Liabilities was ₹857 Mil.
Long-Term Debt & Capital Lease Obligation was ₹149 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) |
| = | (1300.798 / 3472.944) | / | (760.793 / 3118.002) |
| = | 0.374552 | / | 0.244 |
| | = | 1.535 |
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) |
| = | (2801.271 / 3118.002) | / | (2377.179 / 3472.944) |
| = | 0.898419 | / | 0.684485 |
| | = | 1.3125 |
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 - (2234.404 + 291.289) / 2643.945) | / | (1 - (1573.492 + 206.686) / 1879.927) |
| = | 0.044726 | / | 0.05306 |
| | = | 0.8429 |
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 |
| = | 3472.944 | / | 3118.002 |
| | = | 1.1138 |
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)) |
| = | (22.617 / (22.617 + 206.686)) | / | (49.996 / (49.996 + 291.289)) |
| = | 0.098634 | / | 0.146493 |
| | = | 0.6733 |
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 / 3472.944) | / | (40.327 / 3118.002) |
| = | 0 | / | 0.012934 |
| | = | 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) |
| = | ((204.7 + 1416.887) / 2643.945) | / | ((148.971 + 856.538) / 1879.927) |
| = | 0.613321 | / | 0.534866 |
| | = | 1.1467 |
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 |
| = | (169.838 - 0 | - | -89.472) | / | 2643.945 |
| | = | 0.098077 |
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.
Markolines Pavement Technologies has a M-score of -1.24 signals that the company is likely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
BOM:543364 has been successfully added to your