Stocklytics Platform
Asset logo for symbol FTV
Fortive
FTV55
$69.73arrow_drop_down0.54%-$0.38
S&P500
Asset logo for symbol FTV
FTV55

$69.73

arrow_drop_down0.54%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Fortive (FTV) Stocklytics Forecast

Fortive Corp (FTV) is a globally recognized industrial technology company that specializes in intelligent solutions for critical businesses. With its diverse portfolio of innovative products and services, Fortive Corp is well-positioned for long-term growth in various sectors. The company's stock price has shown resilience and stability over the years, making it an attractive investment option for investors looking for steady returns.
Looking ahead, Fortive Corp's stock price is expected to continue its positive trajectory. Analysts predict that the stock will experience consistent growth in the coming years, with a focus on the forecast for 2023. With the advancements in AI and machine learning, technology-driven predictions provide valuable insights into the future performance of stocks like FTV. Using cutting-edge algorithms, AI-based forecasts indicate a strong upward trend for Fortive Corp, supporting the overall positive outlook provided by analysts.
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Frequently Asked Questions

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What is the analyst price prediction for Fortive (FTV) stock?

Analysts have set a target price of $83.78 for Fortive (FTV), based on forecasts from 18 analysts. The predicted price range extends from a high of $101 to a low of $66. This represents a potential increase of up to 44.84% and a decrease of -5.35% from the current price of $69.73. These forecasts are as of 2023 Jul 10.
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What are the analyst ratings for Fortive (FTV) stock?

Currently, there are no analyst ratings available for Fortive (FTV), possibly due to insufficient coverage or recent updates.
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What is the AI price prediction for Fortive (FTV) stock?

At present, there is no AI or machine-learning-based price prediction available for Fortive (FTV) 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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