CRH Beneish M-Score Historical Data
The historical data trend for CRH'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.
CRH Beneish M-Score Chart
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CRH Annual Data
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Trend |
Dec14 |
Dec15 |
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Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.81 |
-2.81 |
-2.46 |
-2.41 |
-2.71 |
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CRH Semi-Annual Data
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Jun14 |
Dec14 |
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Dec17 |
Jun18 |
Dec18 |
Jun19 |
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Dec22 |
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Dec23 |
| Beneish M-Score |
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-2.46 |
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-2.41 |
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-2.71 |
Competitive Comparison of CRH's Beneish M-Score
For the Building Materials subindustry, CRH'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.
CRH's Beneish M-Score Distribution in the Building Materials Industry
For the Building Materials industry and Basic Materials sector, CRH's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where CRH's Beneish M-Score falls into.
CRH 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 CRH 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 * 0.9814 | + | 0.528 * 0.9655 | + | 0.404 * 0.9471 | + | 0.892 * 1.068 | + | 0.115 * 0.9773 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9934 | + | 4.679 * -0.038741 | - | 0.327 * 1.1618 |
| = | -2.71 |
* 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 (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was $4,507 Mil.
Revenue was $34,949 Mil.
Gross Profit was $11,963 Mil.
Total Current Assets was $16,885 Mil.
Total Assets was $47,469 Mil.
Property, Plant and Equipment(Net PPE) was $19,133 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,633 Mil.
Selling, General, & Admin. Expense(SGA) was $7,486 Mil.
Total Current Liabilities was $10,013 Mil.
Long-Term Debt & Capital Lease Obligation was $10,901 Mil.
Net Income was $3,178 Mil.
Gross Profit was $0 Mil.
Cash Flow from Operations was $5,017 Mil.
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Total Receivables was $4,300 Mil.
Revenue was $32,723 Mil.
Gross Profit was $10,815 Mil.
Total Current Assets was $14,833 Mil.
Total Assets was $45,319 Mil.
Property, Plant and Equipment(Net PPE) was $18,943 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,577 Mil.
Selling, General, & Admin. Expense(SGA) was $7,056 Mil.
Total Current Liabilities was $8,041 Mil.
Long-Term Debt & Capital Lease Obligation was $9,145 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) |
| = | (4507 / 34949) | / | (4300 / 32723) |
| = | 0.128959 | / | 0.131406 |
| | = | 0.9814 |
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) |
| = | (10815 / 32723) | / | (11963 / 34949) |
| = | 0.330501 | / | 0.342299 |
| | = | 0.9655 |
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 - (16885 + 19133) / 47469) | / | (1 - (14833 + 18943) / 45319) |
| = | 0.241231 | / | 0.254706 |
| | = | 0.9471 |
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 |
| = | 34949 | / | 32723 |
| | = | 1.068 |
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)) |
| = | (1577 / (1577 + 18943)) | / | (1633 / (1633 + 19133)) |
| = | 0.076852 | / | 0.078638 |
| | = | 0.9773 |
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) |
| = | (7486 / 34949) | / | (7056 / 32723) |
| = | 0.214198 | / | 0.215628 |
| | = | 0.9934 |
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) |
| = | ((10901 + 10013) / 47469) | / | ((9145 + 8041) / 45319) |
| = | 0.440582 | / | 0.379223 |
| | = | 1.1618 |
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 |
| = | (3178 - 0 | - | 5017) | / | 47469 |
| | = | -0.038741 |
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.
CRH has a M-score of -2.71 suggests that the company is unlikely to be a manipulator.
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