| SGF Stock | | | 3.40 0.01 0.29% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
World Market Map to better understand how to build diversified portfolios, which includes a position in SG Fleet Group. 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, SG Fleet's
Capital Lease Obligations is comparatively stable compared to the past year.
Net Working Capital is likely to gain to about 1.2
B in 2024, whereas
Net Invested Capital is likely to drop slightly above 602.5
M in 2024. At this time, SG Fleet's
Total Other Income Expense Net is comparatively stable compared to the past year.
Selling And Marketing Expenses is likely to gain to about 136.8
M in 2024, whereas
Income Before Tax is likely to drop slightly above 74.5
M in 2024.
SG Fleet Group Company Z Score Analysis
SG Fleet's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
|
| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
|
| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
|
| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
|
| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
|
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Based on the company's disclosures, SG Fleet Group has a Z Score of 0.0. This is 100.0% lower than that of the Commercial Services & Supplies sector and about the same as
Industrials (which currently averages 0.0) industry. The z score for all Australia stocks is 100.0% higher than that of the company.
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SGF Fundamentals
About SG Fleet Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze SG Fleet Group's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of SG Fleet using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of SG Fleet Group 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.
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Additional Tools for SGF Stock Analysis
When running SG Fleet's price analysis, check to
measure SG Fleet'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 SG Fleet is operating at the current time. Most of SG Fleet's value examination focuses on studying past and present price action to
predict the probability of SG Fleet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SG Fleet's price. Additionally, you may evaluate how the addition of SG Fleet to your portfolios can decrease your overall portfolio volatility.