| HWO Stock | | | CAD 1.15 0.01 0.88% |
This module uses fundamental data of High Arctic to approximate its Piotroski F score. High Arctic F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of High Arctic Energy. 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 High Arctic financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in High Arctic Energy. 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.
At this time, High Arctic's
Long Term Debt is very stable compared to the past year. As of the 1st of December 2024,
Long Term Debt Total is likely to grow to about 7.2
M, while
Short and Long Term Debt Total is likely to drop about 5.9
M. At this time, High Arctic's
Payables Turnover is very stable compared to the past year. As of the 1st of December 2024,
Sales General And Administrative To Revenue is likely to grow to 0.17, while
Price To Sales Ratio is likely to drop 2.29.
At this time, it appears that High Arctic'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..
7.0
Piotroski F Score - Inapplicable
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | Higher Leverage| Focus | |
| Change In Outstending Shares | |
High Arctic Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to High Arctic is to make sure High is not a subject of accounting manipulations and runs a healthy internal audit department. So, if High Arctic'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 High Arctic's financial numbers are properly reported.
High Arctic Energy 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 High Arctic's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards High Arctic in a much-optimized way.
Click cells to compare fundamentals
About High Arctic 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.
High Arctic Current Valuation Drivers
We derive many important indicators used in calculating different scores of High Arctic from analyzing High Arctic's financial statements. These drivers represent accounts that assess High Arctic's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of High Arctic's important valuation drivers and their relationship over time.
| | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) |
| Market Cap | | 461.8M | 229.6M | 290.7M | 208.5M | 239.8M | 227.8M |
| Enterprise Value | | 463.2M | 216.2M | 295.2M | 164.5M | 189.2M | 179.7M |
About High Arctic Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze High Arctic Energy's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of High Arctic using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of High Arctic Energy 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.
Other Information on Investing in High Stock
High Arctic financial ratios help investors to determine whether High Stock is cheap or expensive when compared to a particular measure, such as profits or
enterprise value. In other words, they help investors to determine the cost of investment in High with respect to the benefits of owning High Arctic security.