-
1 Comment
MEMSCAP, S.A is currently in a long term uptrend where the price is trading 14.9% above its 200 day moving average.
From a valuation standpoint, the stock is 92.7% cheaper than other stocks from the Technology sector with a price to sales ratio of 1.0.
MEMSCAP, S.A's total revenue rose by 6.7% to $3M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $100K since the same quarter in the previous year.
Based on the above factors, MEMSCAP, S.A gets an overall score of 3/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | FR0010298620 |
| Sector | Technology |
| Industry | Semiconductor Equipment & Materials |
| Market Cap | 30M |
|---|---|
| PE Ratio | 21.28 |
| Target Price | None |
| Beta | 0.94 |
| Dividend Yield | None |
MEMSCAP, S.A. provides micro-electro-mechanical systems (MEMS) based solutions for aerospace and defense, optical communications, medical, and biomedical markets worldwide. The company offers pressure sensors, pressure transducers, and pressure switches for various applications, such as air data computers, cabin pressure, engine control, altimeters, barometers, cockpit instruments, and air data test sets. It also provides gold coated and titanium-based pressure transducers, plastic domes, line-sets, and related accessories. In addition, the company supplies optical MEMS chips for variable optical attenuators in optical telecommunication markets; and provides the multi-user MEMS processes. Further, it offers mounting brackets, snap holders, non-sterile and sterile domes, and monitoring line sets. MEMSCAP, S.A. was founded in 1997 and is based in Crolles, France.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MSBA.F using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025
