CoStar Non Operating Income Net Other from 2010 to 2026

Stocks . USA . 
Stock . CoStar Group
CSGP Stock  USD 43.54  -0.09  -0.21%   
Over recent reporting cycles, Non Operating Income Net Other is advancing amid stable fluctuations. Compared with the previous period, Non Operating Income Net Other is down roughly 13.88%, indicating near-term softness. From 2010 to 2026, the annual regression model for CoStar Non Operating Income Net Other reported a median of 1,773,000 . and median of 1,773,000 . View All Fundamentals
 
Non Operating Income Net Other  
 First Reported
2011-06-30
 Previous Quarter
581 K
 Current Value
609 K
 Quarterly Volatility
4.1 M
Macro event markers
 
Yuan Drop
 
Covid
 
Interest Hikes
Review CoStar financial statements over time to add context on performance and capital structure. Track Depreciation And Amortization of 254.1 M, Interest Expense of 19.9 M or Selling General Administrative of 576.5 M and ratios such as Price To Sales Ratio of 7.1, Dividend Yield of 0.0 or PTB Ratio of 4.77 to align performance context with CoStar Valuation and Volatility.
  
Build AI portfolio with CoStar Stock
CoStar Correlation provides competitor comparison context for CoStar. This supports competitive context.
Evaluating CoStar's Non Operating Income Net Other 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 CoStar Group's fundamental strength.

Latest CoStar's Non Operating Income Net Other Growth Pattern

Below is the plot of the Non Operating Income Net Other of CoStar Group over the last few years. It is CoStar's Non Operating Income Net Other historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in CoStar's overall financial position and show how it may be relating to other accounts over time.
Non Operating Income Net Other10 Years Trend
Pretty Stable
Compare to OthersAll Fundamentals
   Non Operating Income Net Other   
       Timeline  

CoStar Non Operating Income Net Other Regression Statistics

Arithmetic Mean 3,067,110
Coefficient Of Variation 293.57
Mean Deviation 4,643,410
Median 1,773,000
Standard Deviation 9,004,189
Sample Variance81.1T
Range47.4M
R-Value 0.12
Mean Square Error85.3T
R-Squared 0.01
Significance 0.65
Slope 210,930
Total Sum of Squares1297.2T

CoStar Non Operating Income Net Other History

20263.4 M
20253.9 M
20223.4 M
20213.3 M
2020-17.4 M
201930 M
201813.3 M

Stock Overview, Methodology & Data Sources

CoStar Group, Inc. provides information, analytics, and online marketplace services to the commercial real estate, hospitality, residential, and related professionals industries in the United States, Canada, Europe, the Asia Pacific, and Latin America. CoStar Group, Inc. was founded in 1987 and is headquartered in Washington, the District of Columbia. Costar operates under Real Estate Services classification in the United States and is traded on NASDAQ Exchange. It employs 4742 people. The profile for CoStar integrates fundamentals, price behavior, and sector exposure. Historical patterns suggest somewhat reduced sensitivity to broader economic swings. CoStar has a market cap of 18.49 B, P/E of 94.53, ROE of 0.09%.

Methodology

Unless otherwise specified, financial data for CoStar Group 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. CoStar (USA Stocks:CSGP) 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 reference public filings and market reference sources and regulatory disclosures, including those published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data may be normalized and delayed 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

CoStar Group has active sell-side coverage. Source-validated coverage currently shows 20 approved analysts, while broader market-consensus totals may differ across providers due to methodology and update timing. 10 analysts have submitted revenue and/or earnings estimates that may be incorporated into Macroaxis consensus inputs where available. Representative analyst firms may include HSBC Global Research, Wells Fargo Securities, Goldman Sachs, Guggenheim Securities, RBC Capital Markets, Citigroup, Jefferies, Evercore ISI, among others. Updates may occur throughout the day.

This content is curated and reviewed by:

Rifka Kats - Member of Macroaxis Editorial Board
Last reviewed on March 12th, 2026

Pair Trading with CoStar

Pair trading with CoStar can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. This framework is most useful when investors want to hedge directional moves caused by sector headlines or broad market pressure.

Moving together with CoStar Stock

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Moving against CoStar Stock

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Using correlated positions as CoStar substitutes during tax-loss harvesting allows investors to capture a tax benefit without disrupting portfolio allocation. The key is finding instruments that track CoStar Group closely enough to maintain equivalent risk and return.
The correlation of CoStar with other assets is a key diversification metric. Pairing CoStar Group with uncorrelated or negatively correlated instruments can reduce overall portfolio volatility without necessarily reducing expected returns.
Correlation analysis and pair trading evaluation for CoStar can be used to frame hedging context. The approach can be applied within sectors or across broader universes.
Pair CorrelationCorrelation Matching

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