Stocklytics Platform
Asset logo for symbol NIC
Nicolet Bankshares
NIC56
$112.30arrow_drop_up2.23%$2.45
Asset logo for symbol NIC
NIC56

$112.30

arrow_drop_up2.23%

Analyst Forecast

Period: Next 12 Months

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Analyst Ratings

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Nicolet Bankshares (NIC) Stocklytics Forecast

Nicolet Bankshares, Inc. (NIC) is an American bank holding company based in Green Bay, Wisconsin. The company operates through its subsidiary, Nicolet National Bank, which provides a range of banking and financial services to individuals and businesses. NIC stock is listed on the NASDAQ stock exchange and has shown steady growth over the years.
Looking ahead, there is a positive outlook for Nicolet Bankshares, Inc. (NIC) stock. Analysts predict that the stock price will continue to increase in the coming years. AI and machine learning algorithms also suggest a bullish trend for NIC stock, further confirming the positive forecast. Investors can expect a favorable price target for NIC stock in 2023.
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Frequently Asked Questions

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What is the analyst price prediction for Nicolet Bankshares (NIC) stock?

Analysts have set a target price of $86.33 for Nicolet Bankshares (NIC), based on forecasts from 3 analysts. The predicted price range extends from a high of $90 to a low of $84. This represents a potential increase of up to -19.86% and a decrease of -25.2% from the current price of $112.3. These forecasts are as of 2016 May 03.
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What are the analyst ratings for Nicolet Bankshares (NIC) stock?

The analyst ratings for Nicolet Bankshares (NIC) are distributed as follows: 2 analysts recommend buying, 3 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 5 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Nicolet Bankshares.
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What is the AI price prediction for Nicolet Bankshares (NIC) stock?

At present, there is no AI or machine-learning-based price prediction available for Nicolet Bankshares (NIC) 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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