Tctm Old Stock Z Score
TCTMDelisted Stock | 0.50 0.06 13.64% |
TCTM |
TCTM Old Company Z Score Analysis
TCTM Old'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..
| |||||||
| |||||||
| |||||||
| |||||||
|
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, TCTM Old has a Z Score of 0.0. This is 100.0% lower than that of the Diversified Consumer Services sector and 100.0% lower than that of the Consumer Discretionary industry. The z score for all United States stocks is 100.0% higher than that of the company.
TCTM Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses TCTM Old's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of TCTM Old could also be used in its relative valuation, which is a method of valuing TCTM Old by comparing valuation metrics of similar companies.TCTM Old is currently under evaluation in z score category among its peers.
TCTM Fundamentals
Return On Asset | -0.0132 | |||
Profit Margin | (0.05) % | |||
Operating Margin | (0.07) % | |||
Current Valuation | 25.41 M | |||
Shares Outstanding | 8.5 M | |||
Shares Owned By Insiders | 14.34 % | |||
Shares Owned By Institutions | 4.55 % | |||
Number Of Shares Shorted | 138.54 K | |||
Price To Book | 1.43 X | |||
Price To Sales | 0 X | |||
Revenue | 1.38 B | |||
Gross Profit | 583.03 M | |||
EBITDA | 181.63 M | |||
Net Income | 22.33 M | |||
Total Debt | 219.64 M | |||
Book Value Per Share | (134.23) X | |||
Cash Flow From Operations | (118.94 M) | |||
Short Ratio | 0.16 X | |||
Earnings Per Share | (3.28) X | |||
Number Of Employees | 5.38 K | |||
Beta | -0.05 | |||
Market Capitalization | 4.92 M | |||
Total Asset | 1.02 B | |||
Retained Earnings | (2.43 B) | |||
Working Capital | (1.85 B) | |||
Net Asset | 1.02 B |
About TCTM Old Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze TCTM Old's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of TCTM Old using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of TCTM Old 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 Prophet 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 ProphetCheck out World Market Map 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 employment. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Other Consideration for investing in TCTM Stock
If you are still planning to invest in TCTM Old 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 TCTM Old's history and understand the potential risks before investing.
Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |