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Telia Co. AB Stock Predictions

Telia Co. AB Stock Forecast

  • Is Telia Co. AB Stock Undervalued?
    The current Telia Co. AB [TLSNF] share price is $3.95. The Score for TLSNF is 66, which is 32% above its historic median score of 50, and infers lower risk than normal.
  • TLSNF is currently trading in the 60-70% percentile range relative to its historical Stock Score levels.

Will Telia Co. AB Stock Go Up Next Year?

Data Unavailable

Telia Co. AB Stock Rating

Data Unavailable

Telia Co. AB Stock Price History

Is TLSNF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Sweden
Industry:
Diversified Telecommunication Services
Sector:
Communication Services
Type:
stock
Website:
teliasonera.com

52-Week Data

52-Week High:
4.00
52-Week Low:
2.70

Prediction Charts

Market Cap:
15.5B
Price in USD:
3.95
Volume:
100
Beta:
0.73

Technical Analysis

SMA50:
3.87
SMA100:
3.79
SMA200:
3.66
52-Wk Change:
38.6%

Stock Predictions

  • Is Telia Co. AB stock public?
    Yes, Telia Co. AB is a publicly traded company.
  • What is the Telia Co. AB stock quote today?
    The Telia Co. AB stock price is 3.95 USD today.
  • How to buy Telia Co. AB stock online?
    You can buy Telia Co. AB 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-17 4.00 4.00 4.00 4.00
Nov-18 4.00 4.00 4.00 4.00
Nov-19 4.00 4.00 4.00 4.00
Nov-20 4.00 4.00 4.00 4.00
Nov-21 4.00 4.00 4.00 4.00
Nov-24 4.00 4.00 4.00 4.00
Nov-25 4.00 4.00 4.00 4.00
Nov-26 4.00 4.00 4.00 4.00
Nov-28 4.00 4.00 4.00 4.00
Dec-1 4.00 4.00 4.00 4.00
Dec-2 3.93 3.93 3.93 3.93
Dec-3 3.93 3.93 3.93 3.93
Dec-4 3.93 3.93 3.93 3.93
Dec-5 3.95 3.95 3.95 3.95

Telia Co. AB Earnings

Data Unavailable

Telia Co. AB Forecast Revenue Growth

Data Unavailable

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