Chesapeake Energy Beneish M-Score Historical Data
The historical data trend for Chesapeake Energy'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.
|
Chesapeake Energy Annual Data
|
|
Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
|
|
|
|
|
-2.56 |
-3.50 |
-0.66 |
4.75 |
-3.20 |
|
Chesapeake Energy 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 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4.75 |
6.19 |
1.48 |
5.73 |
-3.20 |
Competitive Comparison
For the Oil & Gas E&P subindustry, Chesapeake Energy'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.
Chesapeake Energy Beneish M-Score Distribution
For the Oil & Gas industry and Energy sector, Chesapeake Energy's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Chesapeake Energy's Beneish M-Score falls into.
Chesapeake Energy 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 Chesapeake Energy 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 * 0.5737 | + | 0.528 * 1.1035 | + | 0.404 * 1.1351 | + | 0.892 * 0.6795 | + | 0.115 * 1.0312 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8813 | + | 4.679 * -0.064204 | - | 0.327 * 0.6203 |
| = | -3.20 |
* 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 $626 Mil.
Revenue was 1809 + 1512 + 1419 + 3035 = $7,775 Mil.
Gross Profit was 1177 + 865 + 96 + 1530 = $3,668 Mil.
Total Current Assets was $2,609 Mil.
Total Assets was $14,376 Mil.
Property, Plant and Equipment(Net PPE) was $10,097 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,527 Mil.
Selling, General, & Admin. Expense(SGA) was $1,364 Mil.
Total Current Liabilities was $1,314 Mil.
Long-Term Debt & Capital Lease Obligation was $2,028 Mil.
Net Income was 569 + 70 + 391 + 1389 = $2,419 Mil.
Non Operating Income was 137 + -12 + 492 + 345 = $962 Mil.
Cash Flow from Operations was 470 + 506 + 515 + 889 = $2,380 Mil.
|
Total Receivables was $1,606 Mil.
Revenue was 4124 + 3164 + 3499 + 656 = $11,443 Mil.
Gross Profit was 3288 + 2317 + 1371 + -1019 = $5,957 Mil.
Total Current Assets was $2,698 Mil.
Total Assets was $15,468 Mil.
Property, Plant and Equipment(Net PPE) was $11,187 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,753 Mil.
Selling, General, & Admin. Expense(SGA) was $2,278 Mil.
Total Current Liabilities was $2,704 Mil.
Long-Term Debt & Capital Lease Obligation was $3,093 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) |
| = | (626 / 7775) | / | (1606 / 11443) |
| = | 0.080514 | / | 0.140348 |
| | = | 0.5737 |
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) |
| = | (5957 / 11443) | / | (3668 / 7775) |
| = | 0.52058 | / | 0.471768 |
| | = | 1.1035 |
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 - (2609 + 10097) / 14376) | / | (1 - (2698 + 11187) / 15468) |
| = | 0.116166 | / | 0.10234 |
| | = | 1.1351 |
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 |
| = | 7775 | / | 11443 |
| | = | 0.6795 |
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)) |
| = | (1753 / (1753 + 11187)) | / | (1527 / (1527 + 10097)) |
| = | 0.135471 | / | 0.131366 |
| | = | 1.0312 |
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) |
| = | (1364 / 7775) | / | (2278 / 11443) |
| = | 0.175434 | / | 0.199074 |
| | = | 0.8813 |
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) |
| = | ((2028 + 1314) / 14376) | / | ((3093 + 2704) / 15468) |
| = | 0.232471 | / | 0.374774 |
| | = | 0.6203 |
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 |
| = | (2419 - 962 | - | 2380) | / | 14376 |
| | = | -0.064204 |
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.
Chesapeake Energy has a M-score of -3.20 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
CHK has been successfully added to your