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SWIM vs QD Comparison

Compare SWIM & QD Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.

  • Machine Learning Prediction
  • ML Decision
  • SWIM
  • QD
  • Stock Information
  • Founded
  • SWIM 1956
  • QD 2014
  • Country
  • SWIM United States
  • QD China
  • Employees
  • SWIM N/A
  • QD N/A
  • Industry
  • SWIM Plastic Products
  • QD Finance: Consumer Services
  • Sector
  • SWIM Industrials
  • QD Finance
  • Exchange
  • SWIM Nasdaq
  • QD Nasdaq
  • Market Cap
  • SWIM 885.7M
  • QD 754.6M
  • IPO Year
  • SWIM 2021
  • QD 2017
  • Fundamental
  • Price
  • SWIM $7.79
  • QD $4.67
  • Analyst Decision
  • SWIM Hold
  • QD
  • Analyst Count
  • SWIM 3
  • QD 0
  • Target Price
  • SWIM $6.93
  • QD N/A
  • AVG Volume (30 Days)
  • SWIM 704.7K
  • QD 587.3K
  • Earning Date
  • SWIM 08-05-2025
  • QD 08-13-2025
  • Dividend Yield
  • SWIM N/A
  • QD N/A
  • EPS Growth
  • SWIM N/A
  • QD N/A
  • EPS
  • SWIM N/A
  • QD 0.42
  • Revenue
  • SWIM $521,828,000.00
  • QD $19,058,373.00
  • Revenue This Year
  • SWIM $9.17
  • QD N/A
  • Revenue Next Year
  • SWIM $5.38
  • QD N/A
  • P/E Ratio
  • SWIM N/A
  • QD $10.80
  • Revenue Growth
  • SWIM N/A
  • QD N/A
  • 52 Week Low
  • SWIM $4.56
  • QD $1.72
  • 52 Week High
  • SWIM $8.46
  • QD $5.08
  • Technical
  • Relative Strength Index (RSI)
  • SWIM 55.21
  • QD 59.75
  • Support Level
  • SWIM $8.04
  • QD $4.52
  • Resistance Level
  • SWIM $8.46
  • QD $4.86
  • Average True Range (ATR)
  • SWIM 0.33
  • QD 0.27
  • MACD
  • SWIM -0.02
  • QD -0.04
  • Stochastic Oscillator
  • SWIM 37.38
  • QD 55.38

About SWIM Latham Group Inc.

Latham Group Inc is a designer, manufacturer, and marketer of in-ground residential swimming pools, liners, and covers in North America, Australia, and New Zealand. It derives a majority of its revenue from the United States.

About QD Qudian Inc. each representing one

Qudian Inc is a consumer-oriented technology company engaged in the operation of online platforms to provide small consumer credit products in the People's Republic of China. It aims to empower financial institutions with its technological capabilities, help them improve marketing and operating efficiency, and enable financial institutions to efficiently connect their diversified financial products with scene traffic across the entire network It derives a majority of its revenue from the People's Republic of China.

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