Stocklytics Platform
NVRI
Enviri
NVRI73
$9.17arrow_drop_down0.65%-$0.06
NVRI
NVRI73

$9.17

arrow_drop_down0.65%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Enviri (NVRI) Stocklytics Forecast

According to analysts, the stock price of Enviri Corp (NVRI) is expected to experience a significant rise in the coming years. The company's innovative approach to solving environmental challenges has garnered a lot of attention, and many investors are optimistic about its future prospects. Machine learning predictions also indicate a positive trend for NVRI stock. The technology has analyzed various data points and market trends, suggesting that the stock will steadily increase in value.
Considering the stock's forecast for 2023, experts predict that Enviri Corp (NVRI) will continue its upward trajectory. The company's commitment to sustainable solutions and its ability to adapt to changing market needs has positioned it well for future success. Analysts have set a price target for NVRI stock, indicating the expected value at a given time. While individual opinions may differ slightly, the consensus among analysts remains positive, with most predicting substantial growth for NVRI stock in the coming years.
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Frequently Asked Questions

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What is the analyst price prediction for Enviri (NVRI) stock?

Analysts have set a target price of $20.31 for Enviri (NVRI), based on forecasts from 8 analysts. The predicted price range extends from a high of $32 to a low of $9.5. This represents a potential increase of up to 248.96% and a decrease of 3.6% from the current price of $9.17. These forecasts are as of 2018 Feb 28.
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What are the analyst ratings for Enviri (NVRI) stock?

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

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