Ttm Technologies Stock Target Price
| TT1 Stock | EUR 23.60 0.20 0.85% |
TTM Technologies fundamentals help investors to digest information that contributes to TTM Technologies' financial success or failures. It also enables traders to predict the movement of TTM Stock. The fundamental analysis module provides a way to measure TTM Technologies' 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 TTM Technologies stock.
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TTM Target Price Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses TTM Technologies' direct or indirect competition against its Target Price to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of TTM Technologies could also be used in its relative valuation, which is a method of valuing TTM Technologies by comparing valuation metrics of similar companies.TTM Technologies is rated fourth in target price category among its peers.
TTM Fundamentals
| Return On Equity | 0.0633 | |||
| Return On Asset | 0.0321 | |||
| Profit Margin | 0.04 % | |||
| Operating Margin | 0.07 % | |||
| Current Valuation | 2.13 B | |||
| Shares Outstanding | 102.21 M | |||
| Shares Owned By Insiders | 6.55 % | |||
| Shares Owned By Institutions | 99.50 % | |||
| Price To Earning | 7.20 X | |||
| Price To Book | 1.06 X | |||
| Price To Sales | 0.58 X | |||
| Revenue | 2.5 B | |||
| Gross Profit | 458.42 M | |||
| EBITDA | 265.48 M | |||
| Net Income | 94.58 M | |||
| Cash And Equivalents | 235.22 M | |||
| Cash Per Share | 2.23 X | |||
| Total Debt | 927.82 M | |||
| Debt To Equity | 121.80 % | |||
| Current Ratio | 1.92 X | |||
| Book Value Per Share | 15.02 X | |||
| Cash Flow From Operations | 176.63 M | |||
| Earnings Per Share | 0.85 X | |||
| Target Price | 18.63 | |||
| Number Of Employees | 10 | |||
| Beta | 1.45 | |||
| Market Capitalization | 1.28 B | |||
| Total Asset | 3.32 B | |||
| Z Score | 0.6 | |||
| Net Asset | 3.32 B |
About TTM Technologies Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze TTM Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of TTM Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of TTM Technologies 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 TTM Stock
When determining whether TTM Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of TTM Technologies' 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 Ttm Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Ttm Technologies Stock:Check out World Market Map to better understand how to build diversified portfolios, which includes a position in TTM Technologies. 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. For more detail on how to invest in TTM Stock please use our How to Invest in TTM Technologies guide.You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.