-
1 Comment
Clearwater Paper Corporation is currently in a long term downtrend where the price is trading 20.6% below its 200 day moving average.
From a valuation standpoint, the stock is 96.9% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 0.3.
Clearwater Paper Corporation's total revenue rose by 4.0% to $453M since the same quarter in the previous year.
Its net income has increased by 1053.1% to $23M since the same quarter in the previous year.
Finally, its free cash flow grew by 2.2% to $59M since the same quarter in the previous year.
Based on the above factors, Clearwater Paper Corporation gets an overall score of 4/5.
| ISIN | US18538R1032 |
|---|---|
| Sector | Basic Materials |
| Industry | Paper & Paper Products |
| Exchange | NYSE |
| CurrencyCode | USD |
| Market Cap | 200M |
|---|---|
| PE Ratio | None |
| Target Price | 19.6667 |
| Beta | 0.21 |
| Dividend Yield | None |
Clearwater Paper Corporation manufactures and supplies solid bleached sulfate (SBS) paperboard packaging products in the United States and internationally. The company offers SBS paperboard for use in folding cartons, food service, and commercial printing items; folding carton paperboards, such as blister, carded packaging, and top sheet products; food service paperboard, including liquid packaging, and cup and plate categories, as well as rigid containers comprising juice, milk, and wine; and custom sheeting and slitting of paperboard products. It serves packaging converters through sales managers. The company was founded in 1926 and is headquartered in Spokane, Washington.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CLW 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 2026