Pool Corporation POOL

Revenue Intelligence Report • 68 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-03-31

Pool Corporation's latest quarterly revenue is $1.1B for the period ending 2026-03-31. The model projects $5.0B across the next four quarters (-6.1% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 7.7%. 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 2026-03-31. 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
$5.03B
-6.1% YoY
SG&A Elasticity
1.18x
Training Fit
3.7% MAPE
Retrospective holdout (Q1 FY2026): The model predicted $1.05B vs the actual $1.14B — an error of 7.7%.
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: Pool Corporation does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

POOL Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q1 FY2026
Period end 2026-03-31
$1.05B $1.14B $948.2M–$1.16B -2.0% ✓ In range
Q2 FY2026
Period end 2026-06-30
$1.69B $1.46B–$1.95B -5.3%
Q3 FY2026
Period end 2026-09-30
$1.38B $1.15B–$1.64B -5.2%
Q4 FY2026
Period end 2026-12-31
$947.4M $772.0M–$1.16B -3.5%
Q1 FY2027
Period end 2027-03-31
$1.02B $807.5M–$1.28B -10.8%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Pool 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 (Jan–Mar) 0.9911 -0.9% In line with trend 15
FQ2 (Apr–Jun) 1.0106 +1.1% In line with trend 16
FQ3 (Jul–Sep) 0.9949 -0.5% In line with trend 16
FQ4 (Oct–Dec) 1.0036 +0.4% In line with trend 16

Spending and Revenue

POOL 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 68 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 2.7829x
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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