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Argosy Property Stock Predictions

Argosy Property Stock Forecast

  • Is Argosy Property Stock Undervalued?
    The current Argosy Property [IGPYF] share price is $0.69. The Score for IGPYF is 48, which is 4% below its historic median score of 50, and infers higher risk than normal.
  • IGPYF is currently trading in the 40-50% percentile range relative to its historical Stock Score levels.

Will Argosy Property Stock Go Up Next Year?

Data Unavailable

Argosy Property Stock Rating

Data Unavailable

Argosy Property Stock Price History

Is IGPYF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
New Zealand
Industry:
Diversified REITs
Sector:
Real Estate
Type:
stock
Website:
argosy.co.nz

52-Week Data

52-Week High:
0.69
52-Week Low:
0.69

Prediction Charts

Market Cap:
580.31M
Price in USD:
0.69
Volume:
0
Beta:
0.00

Technical Analysis

SMA50:
0.69
SMA100:
0.69
SMA200:
0.69
52-Wk Change:
0%

Stock Predictions

  • Is Argosy Property stock public?
    Yes, Argosy Property is a publicly traded company.
  • What is the Argosy Property stock quote today?
    The Argosy Property stock price is 0.69 USD today.
  • How to buy Argosy Property stock online?
    You can buy Argosy Property 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-20 0.69 0.69 0.69 0.69
Nov-21 0.69 0.69 0.69 0.69
Nov-22 0.69 0.69 0.69 0.69
Nov-25 0.69 0.69 0.69 0.69
Nov-26 0.69 0.69 0.69 0.69
Nov-27 0.69 0.69 0.69 0.69
Nov-29 0.69 0.69 0.69 0.69
Dec-2 0.69 0.69 0.69 0.69
Dec-3 0.69 0.69 0.69 0.69
Dec-4 0.69 0.69 0.69 0.69
Dec-5 0.69 0.69 0.69 0.69
Dec-6 0.69 0.69 0.69 0.69
Dec-9 0.69 0.69 0.69 0.69
Dec-10 0.69 0.69 0.69 0.69

Argosy Property Earnings

Data Unavailable

Argosy Property Forecast Revenue Growth

Data Unavailable

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