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Yoshitsu Stock Predictions

Yoshitsu Stock Forecast

  • Is Yoshitsu Stock Undervalued?
    The current Yoshitsu [TKLF] share price is $0.48. The Score for TKLF is 19, which is 62% below its historic median score of 50, and infers higher risk than normal.
  • TKLF is currently trading in the 10-20% percentile range relative to its historical Stock Score levels.

Will Yoshitsu Stock Go Up Next Year?

Data Unavailable

Yoshitsu Stock Rating

Data Unavailable

Yoshitsu Stock Price History

Is TKLF 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 TKLF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
NASDAQ
Country:
Japan
Industry:
Specialty Retail
Sector:
Consumer Discretionary
Type:
stock
Website:
ystbek.co.jp

52-Week Data

52-Week High:
1.33
52-Week Low:
0.20

Prediction Charts

Market Cap:
20.18M
Price in USD:
0.48
Volume:
417.43K
Beta:
0.01

Technical Analysis

SMA50:
0.56
SMA100:
0.50
SMA200:
0.39
52-Wk Change:
-60.18%

Stock Predictions

  • Is Yoshitsu stock public?
    Yes, Yoshitsu is a publicly traded company.
  • What is the Yoshitsu stock quote today?
    The Yoshitsu stock price is 0.48 USD today.
  • How to buy Yoshitsu stock online?
    You can buy Yoshitsu 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
Oct-10 0.56 0.52 0.57 0.51
Oct-11 0.52 0.51 0.55 0.49
Oct-14 0.49 0.50 0.51 0.42
Oct-15 0.50 0.50 0.51 0.50
Oct-16 0.52 0.51 0.55 0.50
Oct-18 0.54 0.44 0.54 0.41
Oct-21 0.46 0.50 0.52 0.42
Oct-22 0.50 0.50 0.53 0.50
Oct-23 0.50 0.51 0.55 0.50
Oct-24 0.49 0.49 0.51 0.46
Oct-25 0.47 0.51 0.54 0.44
Oct-28 0.49 0.51 0.53 0.49
Oct-29 0.49 0.44 0.51 0.41
Oct-30 0.45 0.48 0.49 0.45

Yoshitsu Earnings

Data Unavailable

Yoshitsu Forecast Revenue Growth

Data Unavailable

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