Factset Research Systems Inc. FDS

Revenue Intelligence Report • 26 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-05-31

Factset Research Systems Inc.'s latest quarterly revenue is $623M for the period ending 2026-05-31. The model projects $2.5B across the next four quarters (+0.9% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 1.8%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The ARDL forecast is based on reported revenue and SG&A data through 2026-05-31. 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
$2.46B
+0.9% YoY
SG&A Multiplier
$2.75 per $1
Training Fit
1.1% MAPE
Retrospective holdout (Q3 FY2026): The model predicted $611.7M vs the actual $622.9M — an error of 1.8%.
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: Factset Research Systems Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

FDS Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 FY2026
Period end 2026-05-31		 $611.7M $622.9M $593.7M–$629.7M +4.5% ✓ In range
Q4 FY2026
Period end 2026-08-31		 $614.0M $588.5M–$639.4M +2.9%
Q1 FY2027
Period end 2026-11-30		 $617.2M $586.0M–$648.3M +1.6%
Q2 FY2027
Period end 2027-02-28		 $614.7M $578.7M–$650.7M +0.6%
Q3 FY2027
Period end 2027-05-31		 $613.5M $573.2M–$653.7M -1.5%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Factset Research Systems 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 (Sep–Nov) 0.9991 -0.1% In line with trend 5
FQ2 (Dec–Feb) 0.9977 -0.2% In line with trend 6
FQ3 (Mar–May) 0.9951 -0.5% In line with trend 5
FQ4 (Jun–Aug) 0.9908 -0.9% In line with trend 5

Spending and Revenue

FDS Spending Timing
Reading this chart: Each line shows the cumulative revenue association per $1 of 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 26 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: -0.149x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: ARDL; spending associations: ARDL (linear) with 26 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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