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Asset logo for symbol AIRC
Apartment Income REIT
AIRC51
$39.08arrow_drop_down0.02%-$0.01
Asset logo for symbol AIRC
AIRC51

$39.08

arrow_drop_down0.02%

AI Deep-Learning Forecast (AIRC)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Apartment Income REIT (AIRC) Stocklytics Forecast

Apartment Income REIT Corp. (AIRC) is a real estate investment trust that focuses on multi-family apartment communities. As an investor, it is important to have an understanding of the potential future performance of the company's stock. Predicting stock prices is a complex task that involves various factors such as market trends, industry outlook, financial performance, and investor sentiment.

Based on available information and analysis, it is difficult to provide an accurate forecast or prediction for the stock price of Apartment Income REIT Corp. (AIRC) specifically. Stock prices are influenced by a multitude of factors that can change rapidly, making it challenging to predict with certainty. Additionally, the future performance of a stock is subject to market conditions and investor behavior, both of which are unpredictable.

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Frequently Asked Questions

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What is the analyst price prediction for Apartment Income REIT (AIRC) stock?

Analysts have set a target price of $43.88 for Apartment Income REIT (AIRC), based on forecasts from 26 analysts. The predicted price range extends from a high of $63 to a low of $33. This represents a potential increase of up to 61.21% and a decrease of -15.56% from the current price of $39.08. These forecasts are as of 2021 Sep 29.

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What are the analyst ratings for Apartment Income REIT (AIRC) stock?

Currently, there are no analyst ratings available for Apartment Income REIT (AIRC), possibly due to insufficient coverage or recent updates.

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What is the AI price prediction for Apartment Income REIT (AIRC) stock?

At present, there is no AI or machine-learning-based price prediction available for Apartment Income REIT (AIRC) 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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