What is ITT's forecasted revenue?

Itt Inc. is forecasted to generate $5.98B in next-four-quarter revenue, representing +26.2% year-over-year growth.

How accurate is the ITT revenue forecast model?

The model has 0.6% training MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.3B versus the actual $1.5B.

Itt Inc. ITT

Revenue Intelligence Report • 22 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-04

Itt Inc.'s latest quarterly revenue is $1.5B for the period ending 2026-07-04. The model projects $6.0B across the next four quarters (+26.2% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 14.9%. 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 2026-07-04. 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

$5.98B

+26.2% YoY

R&D Multiplier

$0.95 per $1

SG&A Multiplier

$3.35 per $1

Training Fit

0.6% MAPE

Retrospective holdout (Q2 FY2026): The model predicted $1.25B vs the actual $1.47B — an error of 14.9%.
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.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q2 FY2026 Period end 2026-07-04	$1.25B	$1.47B	$1.24B–$1.27B	+28.9%	✗ Outside range
Q3 FY2026 Period end 2026-10-04	$1.35B		$1.33B–$1.37B	+35.5%
Q4 FY2026 Period end 2027-01-04	$1.35B		$1.32B–$1.37B	+27.7%
Q1 FY2027 Period end 2027-04-04	$1.67B		$1.64B–$1.70B	+37.9%
Q2 FY2027 Period end 2027-07-04	$1.61B		$1.57B–$1.64B	+9.1%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Itt 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 Quarter	Seasonal Factor	vs Trend	Interpretation	Obs.
FQ1 (Jan–Mar)	1.0004	+0.0%	In line with trend	5
FQ2 (Apr–Jun)	0.9979	-0.2%	In line with trend	4
FQ3 (Jul–Sep)	0.993	-0.7%	In line with trend	4
FQ4 (Oct–Dec)	1.0056	+0.6%	In line with trend	4

Spending and Revenue

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 22 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.1877x • R&D elasticity: 0.3412x
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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