-
1 Comment
Kontoor Brands, Inc is currently in a long term uptrend where the price is trading 17.0% above its 200 day moving average.
From a valuation standpoint, the stock is 97.9% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.3.
Kontoor Brands, Inc's total revenue rose by 1.3% to $661M since the same quarter in the previous year.
Its net income has increased by 49.9% to $43M since the same quarter in the previous year.
Finally, its free cash flow fell by 36.3% to $111M since the same quarter in the previous year.
Based on the above factors, Kontoor Brands, Inc gets an overall score of 4/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | US50050N1037 |
Sector | Consumer Cyclical |
Industry | Apparel Manufacturing |
Target Price | 75.75 |
---|---|
PE Ratio | 14.48 |
Dividend Yield | 3.3% |
Market Cap | 3B |
Beta | 0.95 |
Kontoor Brands, Inc., a lifestyle apparel company, designs, produces, procures, markets, distributes, and licenses denim, apparel, footwear, and accessories, primarily under the Wrangler and Lee brands. The company operates through two segments: Wrangler and Lee. It licenses and sells apparel under the Rock & Republic brand name. The company sells its products primarily through mass merchants, specialty stores, mid-tier and traditional department stores, company-operated stores, and online. It operates in the Americas, Europe, the Middle East, Africa, and the Asia-Pacific regions. Kontoor Brands, Inc. was incorporated in 2018 and is headquartered in Greensboro, North Carolina.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3KO.F using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025