Fagerhult Ab Stock Probability Of Bankruptcy
| FAG Stock | SEK 73.80 0.20 0.27% |
Fagerhult |
Fagerhult AB Company probability of financial unrest Analysis
Fagerhult's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Fagerhult Probability Of Bankruptcy | Less than 9% |
Most of Fagerhult's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Fagerhult AB is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Fagerhult probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Fagerhult odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Fagerhult AB financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, Fagerhult AB has a Probability Of Bankruptcy of 9.0%. This is 78.26% lower than that of the Electrical Equipment sector and 82.06% lower than that of the Industrials industry. The probability of bankruptcy for all Sweden stocks is 77.4% higher than that of the company.
Fagerhult Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Fagerhult's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Fagerhult could also be used in its relative valuation, which is a method of valuing Fagerhult by comparing valuation metrics of similar companies.Fagerhult is currently under evaluation in probability of bankruptcy category among related companies.
Fagerhult Fundamentals
| Return On Equity | 0.081 | |||
| Return On Asset | 0.034 | |||
| Profit Margin | 0.07 % | |||
| Operating Margin | 0.09 % | |||
| Current Valuation | 10.7 B | |||
| Shares Outstanding | 176.15 M | |||
| Shares Owned By Insiders | 7.30 % | |||
| Shares Owned By Institutions | 82.19 % | |||
| Price To Earning | 13.79 X | |||
| Price To Book | 1.13 X | |||
| Price To Sales | 0.95 X | |||
| Revenue | 7.09 B | |||
| Gross Profit | 2.62 B | |||
| EBITDA | 1.11 B | |||
| Net Income | 706.4 M | |||
| Cash And Equivalents | 1.74 B | |||
| Cash Per Share | 9.17 X | |||
| Total Debt | 3.77 B | |||
| Debt To Equity | 237.20 % | |||
| Current Ratio | 1.02 X | |||
| Book Value Per Share | 37.93 X | |||
| Cash Flow From Operations | 802.5 M | |||
| Earnings Per Share | 2.92 X | |||
| Price To Earnings To Growth | 0.80 X | |||
| Target Price | 60.0 | |||
| Number Of Employees | 4.07 K | |||
| Beta | 1.19 | |||
| Market Capitalization | 8.65 B | |||
| Total Asset | 12.65 B | |||
| Retained Earnings | 1.18 B | |||
| Working Capital | 1.21 B | |||
| Current Asset | 2.01 B | |||
| Current Liabilities | 798 M | |||
| Z Score | 1.2 | |||
| Annual Yield | 0.03 % | |||
| Five Year Return | 1.90 % | |||
| Net Asset | 12.65 B | |||
| Last Dividend Paid | 1.3 |
About Fagerhult Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Fagerhult AB's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fagerhult using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fagerhult AB 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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fagerhult AB. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. Note that the Fagerhult AB information on this page should be used as a complementary analysis to other Fagerhult's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary Tools for Fagerhult Stock analysis
When running Fagerhult's price analysis, check to measure Fagerhult's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fagerhult is operating at the current time. Most of Fagerhult's value examination focuses on studying past and present price action to predict the probability of Fagerhult's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fagerhult's price. Additionally, you may evaluate how the addition of Fagerhult to your portfolios can decrease your overall portfolio volatility.
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |