| CAS Stock | | | CAD 11.39 0.18 1.61% |
Long-term reporting places Days Sales Outstanding within a compressing cycle. From 2010 to 2026, regression modeling of Cascades Days Sales Outstanding demonstrates a r-squared of
0.33 . and median of
48.90 .
View All Fundamentals Days Sales Outstanding | First Reported 2010-12-31 | Previous Quarter 33.47361809 | Current Value 58.11 | Quarterly Volatility 7.07226956 |
Macro event markers
Credit Downgrade | Yuan Drop | Covid | Interest Hikes |
This module can also supplement
Cascades Technical models. It adds volatility and performance context in a neutral, informational way. Compare Cascades against competitors using
Cascades Correlation. This provides competitive positioning context.
Evaluating Cascades's Days Sales Outstanding across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Cascades's fundamental strength.
Below is the plot of the Days Sales Outstanding of Cascades over the last few years. It is Cascades' Days Sales Outstanding historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Cascades' overall financial position and show how it may be relating to other accounts over time.
Cascades Inc. produces, converts, and markets packaging and tissue products in Canada, the United States, Italy, and internationally. Cascades Inc. was founded in 1964 and is headquartered in Kingsey Falls, Canada. CASCADES INC operates under Paper Paper Products classification in Canada and is traded on Toronto Stock Exchange. It employs 12000 people. Liquidity and trading activity can influence how quickly new information is reflected in Cascades's price. Lower trading activity may introduce occasional variability in execution conditions. Cascades has a market cap of 1.15 B, P/E of 15.0, ROE of 5.28%.
Methodology
Unless otherwise specified, financial data for Cascades is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Cascades (CA:CAS) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions. Assumptions: Information for Cascades is compiled from public filings and market reference sources and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Reporting latency may occur in some cases. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Analyst Sources
Cascades may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board
Last reviewed on March 5th, 2026
Using Cascades in a pair-trading setup can improve risk control because gains and losses are judged against a second position instead of against the market alone. Used properly, pair trading is less about prediction in isolation and more about identifying relative mispricing between related positions.
Pair-trading logic also applies to tax-loss harvesting: by identifying an asset with near-identical factor exposures to Cascades, investors can effectively maintain a synthetic Cascades position while the wash-sale clock resets.
The correlation structure around Cascades evolves as market regimes change. Assets that were once uncorrelated with Cascades may become correlated during crises, so investors should monitor rolling correlations alongside static long-run averages.
Pair evaluation and
Correlation analysis for Cascades provide hedging context. The context can be applied within sectors, industries, or broader universes.
Financial ratios for Cascades provide valuation context across profits, cash flow, and
enterprise value. They help compare Cascades across valuation measures.