-
1 Comment
TechTarget, Inc is currently in a long term uptrend where the price is trading 10.9% above its 200 day moving average.
From a valuation standpoint, the stock is 26.5% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 13.7.
TechTarget, Inc's total revenue rose by 27.9% to $46M since the same quarter in the previous year.
Its net income has dropped by 19.0% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 120.3% to $17M since the same quarter in the previous year.
Based on the above factors, TechTarget, Inc gets an overall score of 4/5.
ISIN | US87874R1005 |
---|---|
CurrencyCode | USD |
Exchange | NASDAQ |
Sector | Technology |
Industry | Information Technology Services |
Market Cap | 594M |
---|---|
PE Ratio | None |
Target Price | 20 |
Beta | 1.21 |
Dividend Yield | None |
TechTarget, Inc. provides purchase intent-driven marketing and sales data that delivers business impact for B2B companies. Its solutions are designed to enable B2B technology companies to identify, reach, and influence enterprise technology decision makers. It offers products and services intended to improve IT vendors' abilities to impact targeted audiences for business growth using targeting, first-party analytics and data services complemented with customized marketing programs that integrate content creation, demand generation, brand marketing, and other advertising techniques. The company is headquartered in Newton, Massachusetts. TechTarget, Inc operates as a subsidiary of Informa Us Holdings Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for TTGT 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