Idex Corp IEX

Revenue Intelligence Report • 69 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Idex Corp's latest quarterly revenue is $921M for the period ending 2026-06-30. The model projects $3.7B across the next four quarters (+2.9% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 1.4%. 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 2026-06-30. 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
$3.69B
+2.9% YoY
SG&A Multiplier
$3.10 per $1
Training Fit
2.0% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $908.0M vs the actual $920.6M — 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: Idex Corp does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

IEX Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $908.0M $920.6M $877.0M–$939.0M +4.9% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $896.3M $852.4M–$940.2M +2.0%
Q4 FY2026
Period end 2026-12-31		 $917.5M $863.7M–$971.2M +2.0%
Q1 FY2027
Period end 2027-03-31		 $925.3M $863.3M–$987.4M +4.3%
Q2 FY2027
Period end 2027-06-30		 $951.4M $882.1M–$1.02B +3.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Idex Corp'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) 0.9947 -0.5% In line with trend 16
FQ2 (Apr–Jun) 1.0158 +1.6% In line with trend 16
FQ3 (Jul–Sep) 0.9911 -0.9% In line with trend 16
FQ4 (Oct–Dec) 0.9965 -0.4% In line with trend 16

Spending and Revenue

IEX 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 69 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.4646x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

Want this analysis for your portfolio?

I build custom revenue intelligence reports for investors and companies using SEC filing data, econometric modeling, and AI-powered insights.

Get in Touch

Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: ARDL; spending associations: ARDL (linear) with 69 quarters. This analysis is for informational purposes only and does not constitute investment advice.

More in Industrials

SWK CHRW PKG GWW PH TT NDSN TDY