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Asset logo for symbol TECH
Bio-Techne
TECH48
$46.86arrow_drop_down1.22%-$0.57
S&P500
Asset logo for symbol TECH
TECH48

$46.86

arrow_drop_down1.22%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Bio-Techne (TECH) Stocklytics Forecast

Bio-Techne Corp (TECH) is a leading provider of life science research tools and solutions. With a strong focus on innovation and a commitment to quality, the company has established itself as a key player in the biotechnology industry. As such, many investors are interested in the stock and its potential for growth. This article aims to provide a forecast for the future performance of TECH stock.
In terms of price prediction, it is important to note that predicting stock prices with complete accuracy is nearly impossible. However, by analyzing various factors such as the company's financial performance, industry trends, and market conditions, analysts can make educated guesses about future stock prices. In terms of TECH, several analysts have provided their predictions for the stock's performance in the coming years.
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Frequently Asked Questions

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What is the analyst price prediction for Bio-Techne (TECH) stock?

Analysts have set a target price of $165.62 for Bio-Techne (TECH), based on forecasts from 29 analysts. The predicted price range extends from a high of $500 to a low of $65. This represents a potential increase of up to 967.01% and a decrease of 38.71% from the current price of $46.86. These forecasts are as of 2022 Apr 25.
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What are the analyst ratings for Bio-Techne (TECH) stock?

The analyst ratings for Bio-Techne (TECH) are distributed as follows: 11 analysts recommend buying, 5 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 16 analysts leans towards a buy rating. These ratings indicate the general sentiment among the analysts covering Bio-Techne.
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What is the AI price prediction for Bio-Techne (TECH) stock?

At present, there is no AI or machine-learning-based price prediction available for Bio-Techne (TECH) stock. The lack of a forecast could stem from various factors, such as inadequate data or the necessity for model recalibration.

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