PRTR Group PCL Beneish M-Score Historical Data
The historical data trend for PRTR Group PCL'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.
PRTR Group PCL Beneish M-Score Chart
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PRTR Group PCL Annual Data
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Trend |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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- |
- |
-1.93 |
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PRTR Group PCL Quarterly Data
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Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
| Beneish M-Score |
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- |
-1.93 |
-2.04 |
-1.78 |
-1.75 |
Competitive Comparison of PRTR Group PCL's Beneish M-Score
For the Staffing & Employment Services subindustry, PRTR Group PCL'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.
PRTR Group PCL's Beneish M-Score Distribution in the Business Services Industry
For the Business Services industry and Industrials sector, PRTR Group PCL's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where PRTR Group PCL's Beneish M-Score falls into.
PRTR Group PCL 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 PRTR Group PCL 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 * 1.1488 | + | 0.528 * 1.0561 | + | 0.404 * 0.9866 | + | 0.892 * 1.14 | + | 0.115 * 0.7563 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9175 | + | 4.679 * 0.105263 | - | 0.327 * 1.1203 |
| = | -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 (Sep24) TTM: | Last Year (Sep23) TTM: |
Total Receivables was ฿1,538 Mil.
Revenue was 1822.359 + 1841.461 + 1731.345 + 1761.396 = ฿7,157 Mil.
Gross Profit was 180.343 + 171.681 + 169.235 + 165.808 = ฿687 Mil.
Total Current Assets was ฿1,965 Mil.
Total Assets was ฿2,227 Mil.
Property, Plant and Equipment(Net PPE) was ฿53 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿36 Mil.
Selling, General, & Admin. Expense(SGA) was ฿425 Mil.
Total Current Liabilities was ฿465 Mil.
Long-Term Debt & Capital Lease Obligation was ฿15 Mil.
Net Income was 58.933 + 56.931 + 55.043 + 54.354 = ฿225 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ฿0 Mil.
Cash Flow from Operations was 33.837 + -80.376 + 74.144 + -36.733 = ฿-9 Mil.
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Total Receivables was ฿1,175 Mil.
Revenue was 1570.465 + 1580.86 + 1495.051 + 1631.407 = ฿6,278 Mil.
Gross Profit was 165.952 + 165.444 + 148.261 + 156.881 = ฿637 Mil.
Total Current Assets was ฿1,727 Mil.
Total Assets was ฿1,993 Mil.
Property, Plant and Equipment(Net PPE) was ฿76 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿34 Mil.
Selling, General, & Admin. Expense(SGA) was ฿406 Mil.
Total Current Liabilities was ฿355 Mil.
Long-Term Debt & Capital Lease Obligation was ฿28 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) |
| = | (1538.126 / 7156.561) | / | (1174.502 / 6277.783) |
| = | 0.214925 | / | 0.187089 |
| | = | 1.1488 |
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) |
| = | (636.538 / 6277.783) | / | (687.067 / 7156.561) |
| = | 0.101395 | / | 0.096005 |
| | = | 1.0561 |
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 - (1965.388 + 52.548) / 2226.697) | / | (1 - (1727.154 + 76.486) / 1993.023) |
| = | 0.093754 | / | 0.095023 |
| | = | 0.9866 |
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 |
| = | 7156.561 | / | 6277.783 |
| | = | 1.14 |
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)) |
| = | (34.178 / (34.178 + 76.486)) | / | (36.273 / (36.273 + 52.548)) |
| = | 0.308845 | / | 0.408383 |
| | = | 0.7563 |
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) |
| = | (425.157 / 7156.561) | / | (406.478 / 6277.783) |
| = | 0.059408 | / | 0.064749 |
| | = | 0.9175 |
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) |
| = | ((15.354 + 464.733) / 2226.697) | / | ((28.124 + 355.44) / 1993.023) |
| = | 0.215605 | / | 0.192453 |
| | = | 1.1203 |
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 |
| = | (225.261 - 0 | - | -9.128) | / | 2226.697 |
| | = | 0.105263 |
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.
PRTR Group PCL has a M-score of -1.75 signals that the company is likely to be a manipulator.
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