Automotive Return On Tangible Assets from 2010 to 2026

APR-UN Stock  CAD 11.64  0.04  0.34%   
Automotive Properties' shows a shrinking structural trend supported by multi-year data. Analyst models indicate potential upside toward 0.05. Return On Tangible Assets is a profitability metric that measures a company's ability to generate earnings from its tangible assets. View All Fundamentals
 
Return On Tangible Assets  
 First Reported
2010-12-31
 Previous Quarter
0.03192535
 Current Value
0.054
 Quarterly Volatility
0.03480242
Macro event markers
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Financial statement trends for Automotive Properties provide structured context on operating performance and capital structure. This context pairs drivers like Depreciation And Amortization of 157.3 K, Total Revenue of 58 M or Gross Profit of 49.2 M and ratios such as Price To Sales Ratio of 5.17, Dividend Yield of 0.0871 or PTB Ratio of 0.73 with Automotive Properties Valuation and Volatility views.
  
This page complements Automotive Properties Technical models with financial statement trends. It helps organize financial context for review. Automotive Properties Correlation provides competitor comparison context for Automotive Properties. The view supports competitor context.
Analyzing Automotive Properties's Return On Tangible Assets over time reveals critical patterns in financial health and operational efficiency. This metric helps investors evaluate trends, identify inflection points, and make informed decisions based on historical performance. Understanding how Return On Tangible Assets has evolved provides context for assessing Automotive Properties's current valuation and future prospects.

Latest Automotive Properties' Return On Tangible Assets Growth Pattern

Below is the plot of the Return On Tangible Assets of Automotive Properties Real over the last few years. It is a profitability metric that measures a company's ability to generate earnings from its tangible assets. Automotive Properties' Return On Tangible Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Automotive Properties' overall financial position and show how it may be relating to other accounts over time.
Return On Tangible Assets10 Years Trend
Slightly volatile
   Return On Tangible Assets   
       Timeline  

Automotive Return On Tangible Assets Regression Statistics

Arithmetic Mean 0.06
Coefficient Of Variation 60.80
Mean Deviation 0.03
Median 0.05
Standard Deviation 0.03
Sample Variance 0.0012
Range0.128
R-Value-0.39
Mean Square Error 0.0011
R-Squared 0.15
Significance 0.12
Slope-0.0027
Total Sum of Squares 0.02

Automotive Return On Tangible Assets History

2026 0.054
2025 0.0319
2024 0.0605
2023 0.0427
2022 0.0547
2021 0.12
2020 0.005148

About Automotive Properties Real Estate Investment Trust

Automotive Properties REIT is an unincorporated, open-ended real estate investment trust focused on owning and acquiring primarily income-producing automotive dealership properties located in Canada. Automotive Properties REIT is the only public vehicle in Canada focused on consolidating automotive dealership real estate properties. AUTOMOTIVE PROPERTIES operates under REIT - Diversified classification in Canada and is traded on Toronto Stock Exchange. As a small-cap equity, Automotive Properties is reviewed for growth durability, margin stability, and risk discipline. Current metrics include P/E of 31.48, P/B of 0.87, profit margin of 43.78%. Automotive Properties has a market cap of 641.28 M, P/E of 31.48, ROE of 6.44%.

Methodology

Unless otherwise specified, financial data for Automotive Properties Real 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. Automotive (CA:APR-UN) 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 Automotive Properties Real 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

Automotive Properties Real may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.

Pair Trading with Automotive Properties

Pair trading with Automotive Properties can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. The key question is whether the second leg adds real hedge value instead of just creating a more complex version of the same risk.

Moving against Automotive Stock

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Identifying correlated replacements for Automotive Properties is particularly important in concentrated portfolios where Automotive Properties Real represents a large allocation. A poor substitute could introduce unintended factor or sector risks that persist beyond the required waiting period.
Correlation is not causation, but for Automotive Properties it is a practical tool. High correlations between Automotive Properties and a potential addition to the portfolio flag concentrated exposure, while low correlations signal diversification potential.
Correlation analysis and pair evaluation for Automotive Properties can support hedging context. The method can be applied across sectors and broader equity sets.
Pair CorrelationCorrelation Matching

More Resources for Automotive Stock Analysis

Other Information on Investing in Automotive Stock

Financial ratios for Automotive Properties provide valuation context across profits, cash flow, and enterprise value. They help compare Automotive across valuation measures and peers.