Quanergy Systems Stock Z Score
QNGYQDelisted Stock | 0.04 0 6.98% |
Quanergy |
Quanergy Systems Company Z Score Analysis
Quanergy Systems' 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..
Current Quanergy Systems Z Score | -3.3 |
Most of Quanergy Systems' fundamental indicators, such as Z Score, 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, Quanergy Systems is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
| |||||||
| |||||||
| |||||||
| |||||||
|
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.
CompetitionBased on the company's disclosures, Quanergy Systems has a Z Score of -3.3. This is 124.54% lower than that of the Technology sector and 150.93% lower than that of the Scientific & Technical Instruments industry. The z score for all United States stocks is 137.84% higher than that of the company.
Did you try this?
Run Correlation Analysis Now
Correlation AnalysisReduce portfolio risk simply by holding instruments which are not perfectly correlated |
All Next | Launch Module |
Quanergy Fundamentals
Return On Asset | -1.59 | |||
Operating Margin | (16.86) % | |||
Shares Outstanding | 16.16 M | |||
Shares Owned By Insiders | 3.87 % | |||
Shares Owned By Institutions | 22.82 % | |||
Number Of Shares Shorted | 199.07 K | |||
Revenue | 3.93 M | |||
Gross Profit | (11 K) | |||
EBITDA | (41.09 M) | |||
Net Income | (63.54 M) | |||
Total Debt | 32.82 M | |||
Book Value Per Share | 1.62 X | |||
Cash Flow From Operations | (30.12 M) | |||
Short Ratio | 1.39 X | |||
Number Of Employees | 126 | |||
Beta | 0.49 | |||
Market Capitalization | 646.58 K | |||
Total Asset | 36.65 M | |||
Z Score | -3.3 | |||
Net Asset | 36.65 M |
About Quanergy Systems Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Quanergy Systems's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Quanergy Systems using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Quanergy Systems 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.
Pair Trading with Quanergy Systems
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Quanergy Systems position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Quanergy Systems will appreciate offsetting losses from the drop in the long position's value.Moving against Quanergy Pink Sheet
0.8 | SHMZF | Shimadzu | PairCorr |
0.79 | COHR | Coherent | PairCorr |
0.78 | TKURF | Tokyu REIT | PairCorr |
0.7 | FINN | First National | PairCorr |
0.68 | TDY | Teledyne Technologies Fiscal Year End 22nd of January 2025 | PairCorr |
The ability to find closely correlated positions to Quanergy Systems could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quanergy Systems when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Quanergy Systems - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Quanergy Systems to buy it.
The correlation of Quanergy Systems is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Quanergy Systems moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quanergy Systems moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Quanergy Systems can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in manufacturing. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Consideration for investing in Quanergy Pink Sheet
If you are still planning to invest in Quanergy Systems check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Quanergy Systems' history and understand the potential risks before investing.
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Transaction History View history of all your transactions and understand their impact on performance | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |