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Asset logo for symbol EQIX
Equinix
EQIX49
$863.44arrow_drop_down0.37%-$3.24
S&P500
Asset logo for symbol EQIX
EQIX49

$863.44

arrow_drop_down0.37%

Analyst Forecast

Period: Next 12 Months

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Analyst Ratings

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Equinix (EQIX) Stocklytics Forecast

Equinix Inc (EQIX) is a leading global provider of data center and interconnection solutions. With a strong track record of growth and a robust business model, EQIX is well positioned to continue its success in the coming years. The company operates a global platform of high-performance data centers, offering customers secure and reliable infrastructure to support their digital transformation initiatives. This includes a wide range of services such as colocation, connectivity, and managed services.
The outlook for EQIX stock is promising, with analysts predicting a positive trajectory for the company's share price. According to AI and machine learning predictions, EQIX stock is expected to experience steady growth in the coming years. In particular, the forecast for EQIX stock price in 2023 is optimistic, with expectations of a significant increase. This aligns with the consensus among analysts who have also set a bullish price target for EQIX stock in 2023.
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Frequently Asked Questions

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What is the analyst price prediction for Equinix (EQIX) stock?

Analysts have set a target price of $810.78 for Equinix (EQIX), based on forecasts from 23 analysts. The predicted price range extends from a high of $950 to a low of $700. This represents a potential increase of up to 10.03% and a decrease of -18.93% from the current price of $863.44. These forecasts are as of 2023 Apr 20.
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What are the analyst ratings for Equinix (EQIX) stock?

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

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