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Asset logo for symbol TGNA
TEGNA
TGNA80
$15.85arrow_drop_up0.44%$0.07
High Growth
Asset logo for symbol TGNA
TGNA80

$15.85

arrow_drop_up0.44%

AI Deep-Learning Forecast (TGNA)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

TEGNA (TGNA) Stocklytics Forecast

TEGNA Inc (TGNA) is a media company that operates 62 television stations in 51 markets, making it the largest owner and operator of television stations in the United States. With a diverse portfolio of brands and platforms, TEGNA is well-positioned to capitalize on the evolving media landscape. The company's stock price has shown steady growth over the past few years, and many analysts believe that this trend is likely to continue.

Looking ahead to 2023, TEGNA Inc is expected to experience further growth and expansion. Analysts predict that the company will benefit from its strong position in the local television market, as well as its focus on digital innovation. With increasing demand for local news and content, TEGNA is well-positioned to capture a larger audience and drive advertising revenues. As a result, the stock price forecast for TEGNA Inc in 2023 is positive, with many analysts setting a price target above the current trading price.

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Frequently Asked Questions

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What is the analyst price prediction for TEGNA (TGNA) stock?

Analysts have set a target price of $18.22 for TEGNA (TGNA), based on forecasts from 18 analysts. The predicted price range extends from a high of $24 to a low of $11. This represents a potential increase of up to 51.42% and a decrease of -30.6% from the current price of $15.85. These forecasts are as of 2018 May 05.

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What are the analyst ratings for TEGNA (TGNA) stock?

Currently, there are no analyst ratings available for TEGNA (TGNA), possibly due to insufficient coverage or recent updates.

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What is the AI price prediction for TEGNA (TGNA) stock?

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