Enerflex Stock Piotroski F Score

EFX Stock  CAD 13.14  0.25  1.94%   
This module uses fundamental data of Enerflex to approximate its Piotroski F score. Enerflex F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Enerflex. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Enerflex financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Enerflex. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
To learn how to invest in Enerflex Stock, please use our How to Invest in Enerflex guide.
  
At this time, Enerflex's Debt To Assets are very stable compared to the past year. As of the 25th of November 2024, Long Term Debt To Capitalization is likely to grow to 0.48, while Long Term Debt is likely to drop about 606.2 M. At this time, Enerflex's EV To Sales is very stable compared to the past year. As of the 25th of November 2024, Inventory Turnover is likely to grow to 5.89, while Price To Sales Ratio is likely to drop 0.23.
At this time, it appears that Enerflex's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
8.0
Piotroski F Score - Inapplicable
Current Return On Assets

Negative

Focus
Change in Return on Assets

Increased

Focus
Cash Flow Return on Assets

Positive

Focus
Current Quality of Earnings (accrual)

Improving

Focus
Asset Turnover Growth

Increase

Focus
Current Ratio Change

Increase

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

Increase

Focus

Enerflex Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Enerflex is to make sure Enerflex is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Enerflex's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Enerflex's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.880.8083
Significantly Up
Slightly volatile
Gross Profit Margin0.410.3933
Sufficiently Up
Slightly volatile
Total Current Liabilities596.1 M1.1 B
Way Down
Slightly volatile
Non Current Liabilities Total1.4 B1.4 B
Sufficiently Up
Slightly volatile
Total Assets2.5 B3.9 B
Way Down
Slightly volatile
Total Current Assets983.9 M1.4 B
Way Down
Slightly volatile
Total Cash From Operating Activities166.1 M273.3 M
Way Down
Pretty Stable

Enerflex F Score Driver Matrix

One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Enerflex's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Enerflex in a much-optimized way.

About Enerflex Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

Book Value Per Share

10.91

At this time, Enerflex's Book Value Per Share is very stable compared to the past year.

Enerflex Current Valuation Drivers

We derive many important indicators used in calculating different scores of Enerflex from analyzing Enerflex's financial statements. These drivers represent accounts that assess Enerflex's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Enerflex's important valuation drivers and their relationship over time.
201920202021202220232024 (projected)
Market Cap1.1B588.3M686.9M828.8M759.1M1.1B
Enterprise Value1.5B944.3M902.6M2.1B1.9B1.1B

About Enerflex Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Enerflex's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Enerflex using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Enerflex based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Pair Trading with Enerflex

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Enerflex position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Enerflex will appreciate offsetting losses from the drop in the long position's value.

Moving together with Enerflex Stock

  0.79ENB-PFV Enbridge Pref 5PairCorr
  0.82ENS E Split CorpPairCorr
  0.92ENS-PA E Split CorpPairCorr
The ability to find closely correlated positions to Enerflex could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Enerflex when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Enerflex - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Enerflex to buy it.
The correlation of Enerflex is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Enerflex moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Enerflex moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Enerflex can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Enerflex is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Enerflex Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Enerflex Stock. Highlighted below are key reports to facilitate an investment decision about Enerflex Stock:
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Enerflex. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
To learn how to invest in Enerflex Stock, please use our How to Invest in Enerflex guide.
You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Please note, there is a significant difference between Enerflex's value and its price as these two are different measures arrived at by different means. Investors typically determine if Enerflex is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Enerflex's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.