Financhill
Back

Aryzta AG Stock Predictions

Aryzta AG Stock Forecast

  • Is Aryzta AG Stock Undervalued?
    The current Aryzta AG [ARZTY] share price is $0.99. The Score for ARZTY is 55, which is 10% above its historic median score of 50, and infers lower risk than normal.
  • ARZTY is currently trading in the 50-60% percentile range relative to its historical Stock Score levels.

Will Aryzta AG Stock Go Up Next Year?

Data Unavailable

Aryzta AG Stock Rating

Data Unavailable

Aryzta AG Stock Price History

Is ARZTY 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 ARZTY is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Switzerland
Industry:
Food Products
Sector:
Consumer Staples
Type:
stock
Website:
aryzta.com

52-Week Data

52-Week High:
1.00
52-Week Low:
0.75

Prediction Charts

Market Cap:
1.96B
Price in USD:
0.99
Volume:
0
Beta:
0.85

Technical Analysis

SMA50:
0.94
SMA100:
0.95
SMA200:
0.92
52-Wk Change:
32.89%

Stock Predictions

  • Is Aryzta AG stock public?
    Yes, Aryzta AG is a publicly traded company.
  • What is the Aryzta AG stock quote today?
    The Aryzta AG stock price is 0.99 USD today.
  • How to buy Aryzta AG stock online?
    You can buy Aryzta AG 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-29 0.97 0.97 0.97 0.97
Aug-30 0.97 0.97 0.97 0.97
Sep-3 0.97 0.97 0.97 0.97
Sep-4 0.97 0.97 0.97 0.97
Sep-5 0.97 0.97 0.97 0.97
Sep-6 0.97 0.97 0.97 0.97
Sep-9 0.97 0.97 0.97 0.97
Sep-10 0.99 0.99 0.99 0.99
Sep-11 0.99 0.99 0.99 0.99
Sep-12 0.99 0.99 0.99 0.99
Sep-13 0.99 0.99 0.99 0.99
Sep-16 0.99 0.99 0.99 0.99
Sep-17 0.99 0.99 0.99 0.99
Sep-18 0.99 0.99 0.99 0.99

Aryzta AG Earnings

Data Unavailable

Aryzta AG Forecast Revenue Growth

Data Unavailable

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