Ingersoll Rand Inc. IR

Revenue Intelligence Report • 41 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Ingersoll Rand Inc.'s latest quarterly revenue is $2.0B for the period ending 2026-06-30. The model projects $8.5B across the next four quarters (+7.1% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 1.1%. 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
$8.51B
+7.1% YoY
SG&A Multiplier
$5.33 per $1
Training Fit
10.3% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $2.07B vs the actual $2.05B — an error of 1.1%.
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: Ingersoll Rand Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

IR Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $2.07B $2.05B $1.90B–$2.25B +9.8% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $2.10B $1.85B–$2.34B +7.3%
Q4 FY2026
Period end 2026-12-31		 $2.12B $1.82B–$2.42B +1.2%
Q1 FY2027
Period end 2027-03-31		 $2.06B $1.72B–$2.41B +11.7%
Q2 FY2027
Period end 2027-06-30		 $2.23B $1.84B–$2.62B +8.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Ingersoll Rand 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) 0.9778 -2.2% In line with trend 9
FQ2 (Apr–Jun) 0.9803 -2.0% In line with trend 9
FQ3 (Jul–Sep) 1.0035 +0.4% In line with trend 9
FQ4 (Oct–Dec) 1.0492 +4.9% +4.9% above trend 9

Spending and Revenue

IR 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 41 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 3.2271x
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 41 quarters. This analysis is for informational purposes only and does not constitute investment advice.

More in Industrials

ROP PCAR OTIS FTV EME GE BA TDG