North Total Current Assets from 2010 to 2026

FFN Stock  CAD 7.83  0.07  0.90%   
North American's maintains a accelerating profile with slightly volatile financial swings. Total Current Assets is the total value of all assets that are expected to be converted into cash within one year or during the normal operating cycle. View All Fundamentals
 
Total Current Assets  
 First Reported
2007-11-30
 Previous Quarter
110.6 M
 Current Value
1.2 B
 Quarterly Volatility
297.6 M
Macro event markers
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
This statements view for North American organizes long-term performance signals with capital structure context. The series highlights drivers like Interest Expense of 58.5 M, Selling General Administrative of 745.6 K or Total Revenue of 34.6 M and ratios such as Price To Sales Ratio of 6.12, Dividend Yield of 0.14 or PTB Ratio of 1.19, complementing North American Valuation and Volatility.
  
This module adds statement context to North American Technical models. It adds volatility and performance context in a neutral, informational way. Review North American Correlation against competitors for North American. This supports competitive context.
Evaluating North American's Total Current Assets 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 North American Financial's fundamental strength.

Latest North American's Total Current Assets Growth Pattern

Below is the plot of the Total Current Assets of North American Financial over the last few years. It is the total value of all assets that are expected to be converted into cash within one year or during the normal operating cycle. North American's Total Current Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in North American's overall financial position and show how it may be relating to other accounts over time.
Total Current Assets10 Years Trend
Slightly volatile
   Total Current Assets   
       Timeline  

North Total Current Assets Regression Statistics

Arithmetic Mean 314,202,176
Geometric Mean 84,722,389
Coefficient Of Variation 160.34
Mean Deviation 364,819,641
Median 92,239,869
Standard Deviation 503,807,460
Sample Variance253822T
Range1.4B
R-Value 0.67
Mean Square Error148526.1T
R-Squared 0.45
Significance 0.0031
Slope 67,031,951
Total Sum of Squares4061151.3T

North Total Current Assets History

20261.5 B
20251.4 B
20241.2 B
2023110.6 M
202264.5 M
202192.2 M
202058.3 M

Stock Overview, Methodology & Data Sources

North American Financial 15 Split Corp. is an equity mutual fund launched by Quadravest Inc. North American Financial 15 Split Corp. was formed on October 15, 2004 and is domiciled in Canada. NORTH AMERICAN operates under Asset Management classification in Canada and is traded on Toronto Stock Exchange. The stock overview for North American summarizes business drivers, financial profile, and market behavior. The company is positioned within Asset Management & Custody Banks, Financial Services, Banks. Current metrics include P/E of 8.01, P/B of 1.12, profit margin of 73.71%. North American has a market cap of 466.14 M, P/E of 8.01, ROE of 31.99%.

Methodology

Unless otherwise specified, financial data for North American Financial 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. North (CA:FFN) 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: We use public filings and market reference sources with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. 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

North American Financial 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

Pair Trading with North American

Using North American 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. This framework is most useful when investors want to hedge directional moves caused by sector headlines or broad market pressure.

Moving against North Stock

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When executing tax-loss harvesting on North American Financial, the goal is to sell at a loss and immediately redeploy proceeds into a sufficiently different but highly correlated asset. This approach maintains North American's risk contribution to the portfolio while generating a realized tax loss.
Rolling correlation analysis for North American shows how its relationship with other instruments evolves over time. Correlations that spike toward +1 during market stress suggest that North American Financial's diversification benefits may disappear precisely when they are most needed.
Correlation analysis and pair trading evaluation for North American can be used to frame hedging context. The context can be applied within sectors, industries, or broader universes.
Pair CorrelationCorrelation Matching

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Other Information on Investing in North Stock

Financial ratios for North American help frame valuation context across profits, cash flow, and enterprise value. They help compare North across valuation measures.