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PostNL NV Stock Predictions

PostNL NV Stock Forecast

  • Is PostNL NV Stock Undervalued?
    The current PostNL NV [PSTNY] share price is $1.25. The Score for PSTNY is 73, which is 46% above its historic median score of 50, and infers lower risk than normal.
  • PSTNY is currently trading in the 70-80% percentile range relative to its historical Stock Score levels.

Will PostNL NV Stock Go Up Next Year?

Data Unavailable

PostNL NV Stock Rating

Data Unavailable

PostNL NV Stock Price History

Is PSTNY 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 PSTNY is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Netherlands
Industry:
Air Freight & Logistics
Sector:
Industrials
Type:
stock
Website:
postnl.nl

52-Week Data

52-Week High:
1.95
52-Week Low:
1.20

Prediction Charts

Market Cap:
623.52M
Price in USD:
1.25
Volume:
0
Beta:
0.29

Technical Analysis

SMA50:
1.24
SMA100:
1.22
SMA200:
1.36
52-Wk Change:
-35.9%

Stock Predictions

  • Is PostNL NV stock public?
    Yes, PostNL NV is a publicly traded company.
  • What is the PostNL NV stock quote today?
    The PostNL NV stock price is 1.25 USD today.
  • How to buy PostNL NV stock online?
    You can buy PostNL NV 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
Nov-1 1.25 1.25 1.25 1.25
Nov-4 1.25 1.25 1.25 1.25
Nov-5 1.25 1.25 1.25 1.25
Nov-6 1.25 1.25 1.25 1.25
Nov-7 1.25 1.25 1.25 1.25
Nov-8 1.25 1.25 1.25 1.25
Nov-11 1.25 1.25 1.25 1.25
Nov-12 1.25 1.25 1.25 1.25
Nov-13 1.25 1.25 1.25 1.25
Nov-14 1.25 1.25 1.25 1.25
Nov-15 1.25 1.25 1.25 1.25
Nov-18 1.25 1.25 1.25 1.25
Nov-19 1.25 1.25 1.25 1.25
Nov-20 1.25 1.25 1.25 1.25

PostNL NV Earnings

Data Unavailable

PostNL NV Forecast Revenue Growth

Data Unavailable

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