Stocklytics Platform
Asset logo for symbol MMS
MAXIMUS
MMS53
$89.98arrow_drop_down0.81%-$0.74
Asset logo for symbol MMS
MMS53

$89.98

arrow_drop_down0.81%

AI Deep-Learning Forecast (MMS)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

MAXIMUS (MMS) Stocklytics Forecast

MAXIMUS Inc. (MMS) is a leading provider of government services and program management solutions. The company specializes in helping governments deliver essential services to citizens efficiently and effectively. MAXIMUS has a strong track record of success and a solid reputation for quality and innovation. The company's stock price has been steadily increasing over the past few years, and many analysts predict that this upward trend will continue in the future.

One of the key factors driving MAXIMUS Inc.'s stock price is its strong financial performance. The company has consistently reported solid earnings and revenue growth, which has resulted in strong investor confidence. MAXIMUS has a diverse portfolio of government contracts, which helps to mitigate risk and ensure a steady stream of income. Additionally, the company has a strong balance sheet and a healthy cash position, which provides it with the flexibility to invest in future growth opportunities.

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Frequently Asked Questions

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What is the analyst price prediction for MAXIMUS (MMS) stock?

Analysts have set a target price of $81.46 for MAXIMUS (MMS), based on forecasts from 13 analysts. The predicted price range extends from a high of $110 to a low of $59. This represents a potential increase of up to 22.25% and a decrease of -34.43% from the current price of $89.98. These forecasts are as of 2016 Nov 15.

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What are the analyst ratings for MAXIMUS (MMS) stock?

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

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What is the AI price prediction for MAXIMUS (MMS) stock?

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