Heico Corporation HEI

Revenue Intelligence Report • 69 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-31

Heico Corporation's latest quarterly revenue is $1.4B for the period ending 2026-07-31. The model projects $5.7B across the next four quarters (+9.2% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 6.3%. 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 2026-07-31. 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
$5.65B
+9.2% YoY
SG&A Elasticity
1.03x
Training Fit
3.2% MAPE
Retrospective holdout (Q3 FY2026): The model predicted $1.32B vs the actual $1.41B — an error of 6.3%.
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: Heico Corporation does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

HEI Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 FY2026
Period end 2026-07-31
$1.32B $1.41B $1.22B–$1.44B +15.4% ✓ In range
Q4 FY2026
Period end 2026-10-31
$1.37B $1.22B–$1.55B +13.6%
Q1 FY2027
Period end 2027-01-31
$1.36B $1.17B–$1.57B +15.2%
Q2 FY2027
Period end 2027-04-30
$1.43B $1.21B–$1.70B +4.3%
Q3 FY2027
Period end 2027-07-31
$1.49B $1.23B–$1.80B +5.1%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Heico Corporation'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 (Nov–Jan) 0.9614 -3.9% -3.9% below trend 17
FQ2 (Feb–Apr) 1.0184 +1.8% In line with trend 17
FQ3 (May–Jul) 0.9987 -0.1% In line with trend 16
FQ4 (Aug–Oct) 1.0217 +2.2% In line with trend 17

Spending and Revenue

HEI 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 69 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.846x
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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