Stocklytics Platform
Asset logo for symbol DOW
Dow
DOW57
$41.04arrow_drop_up0.39%$0.16
S&P500
Asset logo for symbol DOW
DOW57

$41.04

arrow_drop_up0.39%

Analyst Forecast

Period: Next 12 Months

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Analyst Ratings

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Dow (DOW) Stocklytics Forecast

Dow Inc is a leading global materials science company that provides a wide range of chemical, plastic, and agricultural products. The company operates in diverse industries such as packaging, infrastructure, and consumer care, serving customers in approximately 160 countries. With its extensive portfolio of products and strong market presence, Dow Inc is well-positioned for future growth.
When it comes to predicting the stock price of Dow Inc (DOW), there are several factors to consider. One approach is to analyze historical data and trends to identify patterns that could help forecast future prices. Another method is to utilize artificial intelligence and machine learning algorithms to make predictions based on vast amounts of data. Both approaches have their merits, and analysts often combine them for more accurate forecasts.
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Frequently Asked Questions

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What is the analyst price prediction for Dow (DOW) stock?

Analysts have set a target price of $55.2 for Dow (DOW), based on forecasts from 25 analysts. The predicted price range extends from a high of $63 to a low of $47. This represents a potential increase of up to 53.51% and a decrease of 14.52% from the current price of $41.04. These forecasts are as of 2023 Apr 26.
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What are the analyst ratings for Dow (DOW) stock?

The analyst ratings for Dow (DOW) are distributed as follows: 6 analysts recommend buying, 15 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 21 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Dow .
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What is the AI price prediction for Dow (DOW) stock?

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