| GPV Stock | | | CAD 1.40 0.05 3.45% |
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
Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in GreenPower Motor. 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, GreenPower's
Net Invested Capital is fairly stable compared to the past year.
Net Working Capital is likely to climb to about 17
M in 2024, whereas
Capital Expenditures is likely to drop slightly above 191.1
K in 2024. At this time, GreenPower's
Cost Of Revenue is fairly stable compared to the past year.
Reconciled Depreciation is likely to climb to about 1.9
M in 2024, despite the fact that
Operating Income is likely to grow to (16
M).
GreenPower Motor Company Z Score Analysis
GreenPower'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 ) |
|
GreenPower Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for GreenPower is extremely important. It helps to project a fair market value of GreenPower Stock properly, considering its historical
fundamentals such as Z Score. Since GreenPower's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of GreenPower's historical
financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of GreenPower's interrelated accounts and indicators.
Click cells to compare fundamentals
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.
According to the company's disclosures, GreenPower Motor has a Z Score of 0.0. This is 100.0% lower than that of the Automobiles sector and 100.0% lower than that of the
Consumer Discretionary industry. The z score for all Canada stocks is 100.0% higher than that of the company.
GreenPower Current Valuation Drivers
We derive many important indicators used in calculating different scores of GreenPower from analyzing GreenPower's financial statements. These drivers represent accounts that assess GreenPower's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of GreenPower's important valuation drivers and their relationship over time.
GreenPower Fundamentals
About GreenPower Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze GreenPower Motor's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of GreenPower using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of GreenPower Motor 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.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Additional Tools for GreenPower Stock Analysis
When running GreenPower's price analysis, check to
measure GreenPower'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 GreenPower is operating at the current time. Most of GreenPower's value examination focuses on studying past and present price action to
predict the probability of GreenPower's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GreenPower's price. Additionally, you may evaluate how the addition of GreenPower to your portfolios can decrease your overall portfolio volatility.