Motorcar Parts Of Stock One Year Return
| 54M Stock | EUR 6.35 0.20 3.05% |
Motorcar Parts of fundamentals help investors to digest information that contributes to Motorcar Parts' financial success or failures. It also enables traders to predict the movement of Motorcar Stock. The fundamental analysis module provides a way to measure Motorcar Parts' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Motorcar Parts stock.
Motorcar |
Motorcar Parts of Company One Year Return Analysis
Motorcar Parts' One Year Return is the annualized return generated from holding a security for exactly 12 months. The measure is considered to be good short-term measures of fund performance. In other words, it represents the capital appreciation of fund investments over the last year. However when the market is volatile such as in recent years, One Year Return measure can be misleading.
More About One Year Return | All Equity Analysis
One Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.
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Based on the recorded statements, Motorcar Parts of has an One Year Return of 0.0%. This indicator is about the same for the Consumer Cyclicals average (which is currently at 0.0) sector and about the same as Auto Components (which currently averages 0.0) industry. This indicator is about the same for all Germany stocks average (which is currently at 0.0).
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Motorcar Fundamentals
| Current Valuation | 454.86 M | |||
| Price To Book | 0.72 X | |||
| Price To Sales | 0.34 X | |||
| Revenue | 650.31 M | |||
| EBITDA | 41.59 M | |||
| Net Income | 7.36 M | |||
| Total Debt | 13.02 M | |||
| Cash Flow From Operations | (44.86 M) | |||
| Number Of Employees | 14 | |||
| Market Capitalization | 321.9 M | |||
| Total Asset | 1.02 B | |||
| Z Score | 14.4 | |||
| Net Asset | 1.02 B |
About Motorcar Parts Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Motorcar Parts of's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Motorcar Parts using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Motorcar Parts of 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.
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Additional Information and Resources on Investing in Motorcar Stock
When determining whether Motorcar Parts offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Motorcar Parts' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Motorcar Parts Of Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Motorcar Parts Of Stock:Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Motorcar Parts of. 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. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.