Financhill
Back

Science Applications International Stock Predictions

Forget AI THIS is Way Bigger

If you've never heard of "QaaS" technology you need to click here now.
Sell
43

SAIC
Science Applications International

Last Price:
133.02
Seasonality Move:
5.45%

7 Day Trial

ALL ACCESS PASS

$ 7

1-day winners in this choppy market

Get the 1-day winners strategy here.

Science Applications International Stock Forecast

  • Over the next 52 weeks, Science Applications International has on average historically risen by 12.2% based on the past 10 years of stock performance.
  • Science Applications International has risen higher in 7 of those 10 years over the subsequent 52-week period, corresponding to a historical accuracy of 70%
  • Is Science Applications International Stock Undervalued?
    The current Science Applications International [SAIC] share price is $133.10. The Score for SAIC is 43, which is 14% below its historic median score of 50, and infers higher risk than normal.
  • SAIC is currently trading in the 40-50% percentile range relative to its historical Stock Score levels.

Will Science Applications International Stock Go Up Next Year?

  • Over the next 52 weeks, Science Applications International has on average historically risen by 12.2% based on the past 10 years of stock performance.

Science Applications International Stock Rating

Sell
43
Science Applications International (SAIC) is a Sell

Is Science Applications International overpriced?

  • Science Applications International has risen higher in 7 of those 10 years over the subsequent 52-week period, corresponding to a historical accuracy of 70%

Science Applications International Stock Price History

Is SAIC stock going to rise?

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and SAIC is experiencing selling pressure, which indicates risk of future bearish movement.

Stock Information

Stock Info

Exchange:
NASDAQ
Country:
United States
Industry:
Professional Services
Sector:
Industrials
Type:
stock
Website:
saic.com

52-Week Data

52-Week High:
145.17
52-Week Low:
104.27

Prediction Charts

Market Cap:
6.59B
Price in USD:
133.10
Volume:
309.84K
Beta:
0.87

Technical Analysis

SMA50:
122.79
SMA100:
124.80
SMA200:
127.09
52-Wk Change:
15.21%

Stock Predictions

  • Is Science Applications International stock public?
    Yes, Science Applications International is a publicly traded company.
  • What is the Science Applications International stock quote today?
    The Science Applications International stock price is 133.10 USD today.
  • How to buy Science Applications International stock online?
    You can buy Science Applications International shares by opening an account at a top tier brokerage firm, such as TD Ameritrade or tastyworks.

14-Day Historical Data

Date Opening Closing Minimum Maximum
Aug-19 125.05 126.33 126.35 125.05
Aug-20 125.99 125.19 126.54 125.06
Aug-21 126.21 126.68 126.83 125.06
Aug-22 127.23 126.96 127.82 126.69
Aug-23 127.83 129.56 129.80 127.18
Aug-26 129.97 128.73 130.88 128.27
Aug-27 128.06 128.60 129.57 128.06
Aug-28 128.43 128.44 129.82 127.53
Aug-29 129.11 129.22 130.88 128.71
Aug-30 129.37 130.50 130.71 129.20
Sep-3 130.20 128.11 131.14 127.90
Sep-4 128.54 129.21 129.35 127.79
Sep-5 130.21 135.25 136.22 127.10
Sep-6 134.91 133.10 136.16 132.89

Science Applications International Earnings

Science Applications International Earnings Report: Per Share Science Applications International Earnings Q1 Q2 Q3 and Q4 last year and next year.

Science Applications International Forecast Revenue Growth

Science Applications International Stock Analysis: Historical quarterly revenues per share for Science Applications International and historical quarterly revenue growth:

  • Analysts estimate an earnings increase this quarter of $0.51 per share, an increase next quarter of $0.23 per share, an increase this year of $0.73 per share, and an increase next year of $0.23 per share.

* Science Applications International stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.