The FCF Yield 5yr Average is calculated by taking the five year average free cash flow of a company, and dividing it by the current enterprise value. Enterprise Value is calculated by taking the market capitalization plus debt, minority interest and preferred shares, minus total cash and cash equivalents. The average FCF of a company is determined by looking at the cash generated by operations of the company. The Free Cash Flow Yield 5 Year Average of AF Gruppen ASA (OB:AFG) is 0.036782.
The Price Index is a ratio that indicates the return of a share price over a past period. The price index of AF Gruppen ASA (OB:AFG) for last month was 0.96939. This is calculated by taking the current share price and dividing by the share price one month ago. If the ratio is greater than 1, then that means there has been an increase in price over the month. If the ratio is less than 1, then we can determine that there has been a decrease in price. Similarly, investors look up the share price over 12 month periods. The Price Index 12m for AF Gruppen ASA (OB:AFG) is 0.93189.
Price Range 52 Weeks
Some of the best financial predictions are formed by using a variety of financial tools. The Price Range 52 Weeks is one of the tools that investors use to determine the lowest and highest price at which a stock has traded in the previous 52 weeks. The Price Range of AF Gruppen ASA (OB:AFG) over the past 52 weeks is 0.880000. The 52-week range can be found in the stock’s quote summary.
The Current Ratio of AF Gruppen ASA (OB:AFG) is 0.66. The Current Ratio is used by investors to determine whether a company can pay short term and long term debts. The current ratio looks at all the liquid and non-liquid assets compared to the company’s total current liabilities. A high current ratio indicates that the company might have trouble managing their working capital. A low current ratio (when the current liabilities are higher than the current assets) indicates that the company may have trouble paying their short term obligations.
The Piotroski F-Score is a scoring system between 1-9 that determines a firm’s financial strength. The score helps determine if a company’s stock is valuable or not. The Piotroski F-Score of AF Gruppen ASA (OB:AFG) is 7. A score of nine indicates a high value stock, while a score of one indicates a low value stock. The score is calculated by the return on assets (ROA), Cash flow return on assets (CFROA), change in return of assets, and quality of earnings. It is also calculated by a change in gearing or leverage, liquidity, and change in shares in issue. The score is also determined by change in gross margin and change in asset turnover.
The MF Rank (aka the Magic Formula) is a formula that pinpoints a valuable company trading at a good price. The formula is calculated by looking at companies that have a high earnings yield as well as a high return on invested capital. The MF Rank of AF Gruppen ASA (OB:AFG) is 2251. A company with a low rank is considered a good company to invest in. The Magic Formula was introduced in a book written by Joel Greenblatt, entitled, “The Little Book that Beats the Market”.
The Value Composite One (VC1) is a method that investors use to determine a company’s value. The VC1 of AF Gruppen ASA (OB:AFG) is 44. A company with a value of 0 is thought to be an undervalued company, while a company with a value of 100 is considered an overvalued company. The VC1 is calculated using the price to book value, price to sales, EBITDA to EV, price to cash flow, and price to earnings. Similarly, the Value Composite Two (VC2) is calculated with the same ratios, but adds the Shareholder Yield. The Value Composite Two of AF Gruppen ASA (OB:AFG) is 51.
Stock volatility is a percentage that indicates whether a stock is a desirable purchase. Investors look at the Volatility 12m to determine if a company has a low volatility percentage or not over the course of a year. The Volatility 12m of AF Gruppen ASA (OB:AFG) is 15.130300. This is calculated by taking weekly log normal returns and standard deviation of the share price over one year annualized. The lower the number, a company is thought to have low volatility. The Volatility 3m is a similar percentage determined by the daily log normal returns and standard deviation of the share price over 3 months. The Volatility 3m of AF Gruppen ASA (OB:AFG) is 16.941900. The Volatility 6m is the same, except measured over the course of six months. The Volatility 6m is 18.320700.
Free Cash Flow Growth (FCF Growth) is the free cash flow of the current year minus the free cash flow from the previous year, divided by last year’s free cash flow. The FCF Growth of GKN plc (LSE:GKN) is 0.134913. Free cash flow (FCF) is the cash produced by the company minus capital expenditure. This cash is what a company uses to meet its financial obligations, such as making payments on debt or to pay out dividends. The Free Cash Flow Score (FCF Score) is a helpful tool in calculating the free cash flow growth with free cash flow stability – this gives investors the overall quality of the free cash flow. The FCF Score of GKN plc (LSE:GKN) is 0.738093. Experts say the higher the value, the better, as it means that the free cash flow is high, or the variability of free cash flow is low or both.
GKN plc (LSE:GKN) presently has a current ratio of 1.51. The current ratio, also known as the working capital ratio, is a liquidity ratio that displays the proportion of current assets of a business relative to the current liabilities. The ratio is simply calculated by dividing current liabilities by current assets. The ratio may be used to provide an idea of the ability of a certain company to pay back its liabilities with assets. Typically, the higher the current ratio the better, as the company may be more capable of paying back its obligations.
Investors may be interested in viewing the Gross Margin score on shares of GKN plc (LSE:GKN). The name currently has a score of 9.00000. This score is derived from the Gross Margin (Marx) stability and growth over the previous eight years. The Gross Margin score lands on a scale from 1 to 100 where a score of 1 would be considered positive, and a score of 100 would be seen as negative.
GKN plc (LSE:GKN)’s Leverage Ratio was recently noted as 0.130372. This ratio is calculated by dividing total debt by total assets plus total assets previous year, divided by two. The leverage of a company is relative to the amount of debt on the balance sheet. This ratio is often viewed as one measure of the financial health of a firm.
At the time of writing, GKN plc (LSE:GKN) has a Piotroski F-Score of 7. The F-Score may help discover companies with strengthening balance sheets. The score may also be used to spot the weak performers. Joseph Piotroski developed the F-Score which employs nine different variables based on the company financial statement. A single point is assigned to each test that a stock passes. Typically, a stock scoring an 8 or 9 would be seen as strong. On the other end, a stock with a score from 0-2 would be viewed as weak.
GKN plc (LSE:GKN) has a current ERP5 Rank of 4094. The ERP5 Rank may assist investors with spotting companies that are undervalued. This ranking uses four ratios. These ratios are Earnings Yield, ROIC, Price to Book, and 5 year average ROIC. When looking at the ERP5 ranking, it is generally considered the lower the value, the better.
GKN plc (LSE:GKN) has a Price to Book ratio of 2.307572. This ratio is calculated by dividing the current share price by the book value per share. Investors may use Price to Book to display how the market portrays the value of a stock. Checking in on some other ratios, the company has a Price to Cash Flow ratio of 7.310226, and a current Price to Earnings ratio of 11.487499. The P/E ratio is one of the most common ratios used for figuring out whether a company is overvalued or undervalued.
GKN plc (LSE:GKN) has a current MF Rank of 3307. Developed by hedge fund manager Joel Greenblatt, the intention of the formula is to spot high quality companies that are trading at an attractive price. The formula uses ROIC and earnings yield ratios to find quality, undervalued stocks. In general, companies with the lowest combined rank may be the higher quality picks.