Shikun & Binui Beneish M-Score Historical Data
The historical data trend for Shikun & Binui'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.
Shikun & Binui Beneish M-Score Chart
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Shikun & Binui Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.24 |
-2.67 |
-2.54 |
-2.41 |
-1.74 |
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Shikun & Binui Quarterly Data
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Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
| Beneish M-Score |
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-2.25 |
-1.74 |
-1.95 |
-2.09 |
-2.52 |
Competitive Comparison of Shikun & Binui's Beneish M-Score
For the Engineering & Construction subindustry, Shikun & Binui'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.
Shikun & Binui's Beneish M-Score Distribution in the Construction Industry
For the Construction industry and Industrials sector, Shikun & Binui's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Shikun & Binui's Beneish M-Score falls into.
Shikun & Binui 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 Shikun & Binui 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 * 0.9361 | + | 0.528 * 1.2859 | + | 0.404 * 0.8837 | + | 0.892 * 0.9973 | + | 0.115 * 1.134 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9666 | + | 4.679 * -0.020064 | - | 0.327 * 1.026 |
| = | -2.52 |
* 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 ₪3,751 Mil.
Revenue was 2226 + 1969 + 1902 + 2483 = ₪8,580 Mil.
Gross Profit was 277 + 241 + 229 + 10 = ₪757 Mil.
Total Current Assets was ₪14,141 Mil.
Total Assets was ₪28,658 Mil.
Property, Plant and Equipment(Net PPE) was ₪3,403 Mil.
Depreciation, Depletion and Amortization(DDA) was ₪308 Mil.
Selling, General, & Admin. Expense(SGA) was ₪188 Mil.
Total Current Liabilities was ₪13,322 Mil.
Long-Term Debt & Capital Lease Obligation was ₪8,712 Mil.
Net Income was -35 + -256 + -41 + -222 = ₪-554 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₪0 Mil.
Cash Flow from Operations was 391 + -176 + -382 + 188 = ₪21 Mil.
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Total Receivables was ₪4,018 Mil.
Revenue was 1939 + 2086 + 2145 + 2433 = ₪8,603 Mil.
Gross Profit was 209 + 183 + 237 + 347 = ₪976 Mil.
Total Current Assets was ₪12,653 Mil.
Total Assets was ₪28,036 Mil.
Property, Plant and Equipment(Net PPE) was ₪3,080 Mil.
Depreciation, Depletion and Amortization(DDA) was ₪320 Mil.
Selling, General, & Admin. Expense(SGA) was ₪195 Mil.
Total Current Liabilities was ₪11,659 Mil.
Long-Term Debt & Capital Lease Obligation was ₪9,350 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) |
| = | (3751 / 8580) | / | (4018 / 8603) |
| = | 0.437179 | / | 0.467046 |
| | = | 0.9361 |
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) |
| = | (976 / 8603) | / | (757 / 8580) |
| = | 0.113449 | / | 0.088228 |
| | = | 1.2859 |
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 - (14141 + 3403) / 28658) | / | (1 - (12653 + 3080) / 28036) |
| = | 0.387815 | / | 0.438829 |
| | = | 0.8837 |
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 |
| = | 8580 | / | 8603 |
| | = | 0.9973 |
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)) |
| = | (320 / (320 + 3080)) | / | (308 / (308 + 3403)) |
| = | 0.094118 | / | 0.082996 |
| | = | 1.134 |
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) |
| = | (188 / 8580) | / | (195 / 8603) |
| = | 0.021911 | / | 0.022667 |
| | = | 0.9666 |
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) |
| = | ((8712 + 13322) / 28658) | / | ((9350 + 11659) / 28036) |
| = | 0.76886 | / | 0.749358 |
| | = | 1.026 |
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 |
| = | (-554 - 0 | - | 21) | / | 28658 |
| | = | -0.020064 |
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.
Shikun & Binui has a M-score of -2.52 suggests that the company is unlikely to be a manipulator.
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