Cascades Inc (CADNF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $785M
Analysis
Cascades Inc (CADNF) currently trades at $8.10, while our model-based Fair Value estimate is $8.24 — implying the stock looks roughly 1.7% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Cascades Inc., together with its subsidiaries, produces, converts, and markets packaging and tissue products in Canada and the United States. The company operates through two segments, Packaging Products, and Tissue Papers. It offers food packaging solutions, such as trays and accessories, produce baskets, boxes and trays, egg packaging, bulk bins, and cup carriers; protective packaging, including regular boxes, protection and handling, die-cut boxes, shipping trays, and large format boxes; e-commerce packaging solutions comprising adjustable cardboard boxes, compact mailer boxes, die-cut mailer boxes, and quick assembly boxes; and retail and customer packaging, die-cut mailer boxes, and POS and displays. The company also provides hygiene and tissue paper products; and fiber based materials, which includes tissue paper jumbo rolls, containerboard, specialty papers, technological barrier solutions, and uncoated recycled paperboard. In addition, it offers transportation, specialized w…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.