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M&G PLC Stock Predictions

M&G PLC Stock Forecast

  • Is M&G PLC Stock Undervalued?
    The current M&G PLC [MGPUF] share price is $2.60. The Score for MGPUF is 44, which is 12% below its historic median score of 50, and infers higher risk than normal.
  • MGPUF is currently trading in the 40-50% percentile range relative to its historical Stock Score levels.

Will M&G PLC Stock Go Up Next Year?

Data Unavailable

M&G PLC Stock Rating

Data Unavailable

M&G PLC Stock Price History

Is MGPUF stock going to rise?

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and MGPUF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
United Kingdom
Industry:
Financial Services
Sector:
Financials
Type:
stock
Website:
mandg.com

52-Week Data

52-Week High:
3.04
52-Week Low:
2.26

Prediction Charts

Market Cap:
6.19B
Price in USD:
2.60
Volume:
0
Beta:
1.86

Technical Analysis

SMA50:
2.71
SMA100:
2.65
SMA200:
2.71
52-Wk Change:
7%

Stock Predictions

  • Is M&G PLC stock public?
    Yes, M&G PLC is a publicly traded company.
  • What is the M&G PLC stock quote today?
    The M&G PLC stock price is 2.60 USD today.
  • How to buy M&G PLC stock online?
    You can buy M&G 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
Aug-30 3.04 3.04 3.04 3.04
Sep-3 3.04 3.04 3.04 3.04
Sep-4 3.04 3.04 3.04 3.04
Sep-5 3.04 3.04 3.04 3.04
Sep-6 3.04 3.04 3.04 3.04
Sep-9 3.04 3.04 3.04 3.04
Sep-10 3.04 3.04 3.04 3.04
Sep-11 2.60 2.60 2.60 2.60
Sep-12 2.60 2.60 2.60 2.60
Sep-13 2.60 2.60 2.60 2.60
Sep-16 2.60 2.60 2.60 2.60
Sep-17 2.60 2.60 2.60 2.60
Sep-18 2.60 2.60 2.60 2.60
Sep-19 2.60 2.60 2.60 2.60

M&G PLC Earnings

Data Unavailable

M&G PLC Forecast Revenue Growth

Data Unavailable

* M&G 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.