SilverBow Resources Beneish M-Score Historical Data
The historical data trend for SilverBow Resources'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.
SilverBow Resources Beneish M-Score Chart
|
SilverBow Resources Annual Data
|
|
Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
|
-2.45 |
-4.61 |
-0.78 |
-0.62 |
-2.16 |
|
SilverBow Resources Quarterly Data
|
|
Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
|
|
|
-0.62 |
-0.46 |
-2.80 |
-3.09 |
-2.16 |
Competitive Comparison of SilverBow Resources's Beneish M-Score
For the Oil & Gas E&P subindustry, SilverBow Resources'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.
SilverBow Resources's Beneish M-Score Distribution in the Oil & Gas Industry
For the Oil & Gas industry and Energy sector, SilverBow Resources's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where SilverBow Resources's Beneish M-Score falls into.
SilverBow Resources 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 SilverBow Resources 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 * 1.7809 | + | 0.528 * 1.3741 | + | 0.404 * 1.621 | + | 0.892 * 0.8659 | + | 0.115 * 0.9534 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.6818 | + | 4.679 * -0.1288 | - | 0.327 * 1.0114 |
| = | -2.16 |
* 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 $138.3 Mil.
Revenue was 212.041 + 173.963 + 126.4 + 139.954 = $652.4 Mil.
Gross Profit was 117.931 + 107.067 + 64.776 + 84.436 = $374.2 Mil.
Total Current Assets was $261.5 Mil.
Total Assets was $2,734.5 Mil.
Property, Plant and Equipment(Net PPE) was $2,386.8 Mil.
Depreciation, Depletion and Amortization(DDA) was $219.1 Mil.
Selling, General, & Admin. Expense(SGA) was $112.7 Mil.
Total Current Liabilities was $248.4 Mil.
Long-Term Debt & Capital Lease Obligation was $1,182.7 Mil.
Net Income was 183.058 + -4.771 + 24.937 + 94.492 = $297.7 Mil.
Non Operating Income was 173.647 + -64.934 + 11.251 + 82.84 = $202.8 Mil.
Cash Flow from Operations was 128.709 + 127.314 + 91.393 + 99.695 = $447.1 Mil.
|
Total Receivables was $89.7 Mil.
Revenue was 198.978 + 242.181 + 182.605 + 129.656 = $753.4 Mil.
Gross Profit was 151.286 + 191.018 + 149.395 + 102.15 = $593.8 Mil.
Total Current Assets was $145.7 Mil.
Total Assets was $1,716.4 Mil.
Property, Plant and Equipment(Net PPE) was $1,537.3 Mil.
Depreciation, Depletion and Amortization(DDA) was $134.0 Mil.
Selling, General, & Admin. Expense(SGA) was $77.4 Mil.
Total Current Liabilities was $195.8 Mil.
Long-Term Debt & Capital Lease Obligation was $692.3 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) |
| = | (138.343 / 652.358) | / | (89.714 / 753.42) |
| = | 0.212066 | / | 0.119076 |
| | = | 1.7809 |
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) |
| = | (593.849 / 753.42) | / | (374.21 / 652.358) |
| = | 0.788204 | / | 0.573627 |
| | = | 1.3741 |
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 - (261.451 + 2386.807) / 2734.462) | / | (1 - (145.726 + 1537.256) / 1716.362) |
| = | 0.031525 | / | 0.019448 |
| | = | 1.621 |
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 |
| = | 652.358 | / | 753.42 |
| | = | 0.8659 |
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)) |
| = | (133.982 / (133.982 + 1537.256)) | / | (219.116 / (219.116 + 2386.807)) |
| = | 0.080169 | / | 0.084084 |
| | = | 0.9534 |
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) |
| = | (112.667 / 652.358) | / | (77.371 / 753.42) |
| = | 0.172707 | / | 0.102693 |
| | = | 1.6818 |
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) |
| = | ((1182.665 + 248.444) / 2734.462) | / | ((692.306 + 195.839) / 1716.362) |
| = | 0.52336 | / | 0.517458 |
| | = | 1.0114 |
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 |
| = | (297.716 - 202.804 | - | 447.111) | / | 2734.462 |
| | = | -0.1288 |
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.
SilverBow Resources has a M-score of -2.16 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
SBOW has been successfully added to your