Veresen Beneish M-Score Historical Data
The historical data trend for Veresen'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.
Veresen Beneish M-Score Chart
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Veresen Annual Data
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Trend |
Dec07 |
Dec08 |
Dec09 |
Dec10 |
Dec11 |
Dec12 |
Dec13 |
Dec14 |
Dec15 |
Dec16 |
| Beneish M-Score |
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-3.41 |
-2.54 |
-2.43 |
-2.90 |
-2.62 |
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Veresen Quarterly Data
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Sep12 |
Dec12 |
Mar13 |
Jun13 |
Sep13 |
Dec13 |
Mar14 |
Jun14 |
Sep14 |
Dec14 |
Mar15 |
Jun15 |
Sep15 |
Dec15 |
Mar16 |
Jun16 |
Sep16 |
Dec16 |
Mar17 |
Jun17 |
| Beneish M-Score |
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-1.72 |
-0.86 |
-2.62 |
-2.30 |
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Competitive Comparison of Veresen's Beneish M-Score
For the Oil & Gas Midstream subindustry, Veresen'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.
Veresen's Beneish M-Score Distribution in the Oil & Gas Industry
For the Oil & Gas industry and Energy sector, Veresen's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Veresen's Beneish M-Score falls into.
Veresen 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 Veresen 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 * 0.414 | + | 0.528 * 1.0368 | + | 0.404 * 1.0369 | + | 0.892 * 1.1971 | + | 0.115 * 9.1225 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.7827 | + | 4.679 * -0.007394 | - | 0.327 * 0.9603 |
| = | -2.03 |
* 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 (Jun17) TTM: | Last Year (Jun16) TTM: |
Total Receivables was $52.7 Mil.
Revenue was 73.712 + 75.446 + -9.746 + 86.207 = $225.6 Mil.
Gross Profit was 61.677 + 71.711 + 5.248 + 74.764 = $213.4 Mil.
Total Current Assets was $473.1 Mil.
Total Assets was $3,207.2 Mil.
Property, Plant and Equipment(Net PPE) was $240.7 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.2 Mil.
Selling, General, & Admin. Expense(SGA) was $24.9 Mil.
Total Current Liabilities was $74.5 Mil.
Long-Term Debt & Capital Lease Obligation was $813.8 Mil.
Net Income was 118.09 + 39.591 + -35.985 + 19.072 = $140.8 Mil.
Non Operating Income was -0.752 + 0 + -75.718 + 0 = $-76.5 Mil.
Cash Flow from Operations was 64.686 + 53.037 + 63.723 + 59.506 = $241.0 Mil.
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Total Receivables was $106.3 Mil.
Revenue was 64.371 + 70.316 + -8.022 + 61.812 = $188.5 Mil.
Gross Profit was 60.493 + 66.536 + 7.292 + 50.505 = $184.8 Mil.
Total Current Assets was $203.2 Mil.
Total Assets was $3,511.7 Mil.
Property, Plant and Equipment(Net PPE) was $675.5 Mil.
Depreciation, Depletion and Amortization(DDA) was $4.4 Mil.
Selling, General, & Admin. Expense(SGA) was $11.7 Mil.
Total Current Liabilities was $309.4 Mil.
Long-Term Debt & Capital Lease Obligation was $703.4 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) |
| = | (52.651 / 225.619) | / | (106.251 / 188.477) |
| = | 0.233362 | / | 0.563735 |
| | = | 0.414 |
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) |
| = | (184.826 / 188.477) | / | (213.4 / 225.619) |
| = | 0.980629 | / | 0.945842 |
| | = | 1.0368 |
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 - (473.11 + 240.692) / 3207.221) | / | (1 - (203.195 + 675.508) / 3511.711) |
| = | 0.777439 | / | 0.749779 |
| | = | 1.0369 |
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 |
| = | 225.619 | / | 188.477 |
| | = | 1.1971 |
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)) |
| = | (4.354 / (4.354 + 675.508)) | / | (0.169 / (0.169 + 240.692)) |
| = | 0.006404 | / | 0.000702 |
| | = | 9.1225 |
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) |
| = | (24.923 / 225.619) | / | (11.679 / 188.477) |
| = | 0.110465 | / | 0.061965 |
| | = | 1.7827 |
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) |
| = | ((813.84 + 74.464) / 3207.221) | / | ((703.428 + 309.446) / 3511.711) |
| = | 0.27697 | / | 0.288427 |
| | = | 0.9603 |
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 |
| = | (140.768 - -76.47 | - | 240.952) | / | 3207.221 |
| | = | -0.007394 |
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.
Veresen has a M-score of -2.03 suggests that the company is unlikely to be a manipulator.
Veresen (Veresen) Business Description
Traded in Other Exchanges
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Veresen Inc is an energy infrastructure company based in Calgary, Alberta, Canada. It owns and operates energy infrastructure assets across North America. The Company operates in three business segments, Pipelines, Midstream, and Power. The Company's Pipelines segment owns a 1,330-kilometre pipeline system that transports purity ethane from various Alberta ethane extraction plants to Alberta's major petrochemical complexes located near Joffre and Fort Saskatchewan, Alberta; and also owns a 3,000-kilometre natural gas pipeline comprised of a mainline and various connecting lateral pipelines. This pipeline extends from northeastern B.C. to points near Chicago, Illinois. It's Midstream Business segment is comprised of two natural gas processing plants with combined functional capacity of 516 mmcf/d, as well as approximately 40,000 horsepower of compression and 370 km of gas gathering lines and is located in the Cutbank Ridge region of Alberta and British Columbia. The Hythe plant processes both sour and sweet natural gas, while the Steeprock plant is a sour gas processing facility. While, its Power Business segment operates, a Gas-Fired Generation facility consisting of an 86-MW cogeneration facility located in Windsor, Ontario; 17-MW cogeneration facility located in London, Ontario; 49-MW cogeneration facility located in Ripon, California; 44-MW cogeneration facility located in Pomona, California; and 70-MW combined cycle power cogeneration facility located in Brush, Colorado; an district energy system that produces and distributes steam and chilled water fueled primarily by natural gas, located in London, Ontario; and a district energy system that produces and distributes steam, hot water and electricity fueled primarily by biomass and waste fuel, located in Charlottetown, P.E.I.; a Run-of-River Hydro facility that produces a 33-MW run-of-river hydroelectric power located on the Black River near Watertown, New York; an 11-MW run-of-river power facility located 30 km north of Vancouver, B.C.; two 5-MW waste-heat power generation facilities located at Spectra pipeline's 150 Mile House and Savona, B.C. compressor stations; and a 33-MW wind project under construction in the County of Huron, Ontario; and also operates two wind power facilities, 9-MW and 11-MW, respectively, near Grand Valley, Ontario.
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