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SSP Group Plc Stock Predictions

SSP Group Plc Stock Forecast

  • Is SSP Group Plc Stock Undervalued?
    The current SSP Group Plc [SSPPF] share price is $2.51. The Score for SSPPF is 51, which is 2% above its historic median score of 50, and infers lower risk than normal.
  • SSPPF is currently trading in the 50-60% percentile range relative to its historical Stock Score levels.

Will SSP Group Plc Stock Go Up Next Year?

Data Unavailable

SSP Group Plc Stock Rating

Data Unavailable

SSP Group Plc Stock Price History

Is SSPPF stock going to rise?

  • The current trend is relatively stagnant and SSPPF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
United Kingdom
Industry:
Hotels, Restaurants & Leisure
Sector:
Consumer Discretionary
Type:
stock
Website:
foodtravelexperts.com

52-Week Data

52-Week High:
2.51
52-Week Low:
1.71

Prediction Charts

Market Cap:
2B
Price in USD:
2.51
Volume:
0
Beta:
0.46

Technical Analysis

SMA50:
2.51
SMA100:
2.32
SMA200:
2.27
52-Wk Change:
16.74%

Stock Predictions

  • Is SSP Group Plc stock public?
    Yes, SSP Group Plc is a publicly traded company.
  • What is the SSP Group Plc stock quote today?
    The SSP Group Plc stock price is 2.51 USD today.
  • How to buy SSP Group Plc stock online?
    You can buy SSP Group Plc 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
Mar-16 2.51 2.51 2.51 2.51
Mar-17 2.51 2.51 2.51 2.51
Mar-18 2.51 2.51 2.51 2.51
Mar-19 2.51 2.51 2.51 2.51
Mar-20 2.51 2.51 2.51 2.51
Mar-23 2.51 2.51 2.51 2.51
Mar-24 2.51 2.51 2.51 2.51
Mar-25 2.51 2.51 2.51 2.51
Mar-26 2.51 2.51 2.51 2.51
Mar-27 2.51 2.51 2.51 2.51
Mar-30 2.51 2.51 2.51 2.51
Mar-31 2.51 2.51 2.51 2.51
Apr-1 2.51 2.51 2.51 2.51
Apr-2 2.51 2.51 2.51 2.51

SSP Group Plc Earnings

Data Unavailable

SSP Group Plc Forecast Revenue Growth

Data Unavailable

* SSP Group Plc stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.