Costar Group, Inc. CSGP

Revenue Intelligence Report • 65 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Costar Group, Inc.'s latest quarterly revenue is $925M for the period ending 2026-06-30. The model projects $4.2B across the next four quarters (+18.3% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 1.4%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The GAM forecast is based on reported revenue and SG&A data through 2026-06-30. Training MAPE measures fit to historical data; the separately reported holdout error measures a withheld quarter. Spending coefficients describe associations and do not establish causation.

Next 4 Quarters
$4.21B
+18.3% YoY
SG&A Elasticity
0.65x
Training Fit
2.2% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $937.6M vs the actual $925.0M — an error of 1.4%.
Retrospective one-quarter holdout: model fitting and selection exclude this quarter. Historical inputs use the latest available restatements, so this is not a preserved real-time forecast.
Note: Costar Group, Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

CSGP Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $937.6M $925.0M $858.8M–$1.02B +20.0% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $970.5M $877.5M–$1.07B +16.4%
Q4 FY2026
Period end 2026-12-31		 $1.04B $930.9M–$1.16B +15.5%
Q1 FY2027
Period end 2027-03-31		 $1.08B $954.2M–$1.22B +20.4%
Q2 FY2027
Period end 2027-06-30		 $1.12B $972.4M–$1.28B +20.8%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Costar Group, Inc.'s systematic quarterly revenue patterns relative to the trend model. A factor of 1.05 means that quarter typically runs 5% above the underlying trend; 0.95 means 5% below. Factors are computed as the median of (actual / fitted) across all available quarters.
Fiscal QuarterSeasonal Factorvs TrendInterpretationObs.
FQ1 (Jan–Mar) 0.999 -0.1% In line with trend 16
FQ2 (Apr–Jun) 1.0035 +0.4% In line with trend 16
FQ3 (Jul–Sep) 1.01 +1.0% In line with trend 16
FQ4 (Oct–Dec) 1.0012 +0.1% In line with trend 16

Spending and Revenue

CSGP Spending Timing
Reading this chart: Each line shows the cumulative revenue association with a 1% change in spending over subsequent quarters. These estimates describe historical associations and do not establish causation.

Time-Varying Spending Associations

Time-varying analysis: A penalized spline model (GAM) tracks the association between log spending and log revenue over 65 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: -0.1389x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.
Enhanced forecast: The time-varying model (GAM) was selected using training fit, before evaluating the withheld quarter. Its holdout error is 1.4%.

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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: GAM; spending associations: ARDL (log-log) with 65 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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