What is PAYX's forecasted revenue?

Paychex, Inc. is forecasted to generate $6.73B in FY revenue, representing +13.7% year-over-year growth.

How accurate is the PAYX revenue forecast model?

The ARDL model achieves 2.5% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.5B versus the actual $1.6B.

Paychex, Inc. PAYX

Revenue Intelligence Report • 53 quarters of SEC filing data • Updated 2026-03-15

Revenue is driven by SG&A efficiency, with every $1 of SG&A spending generating $3.80 in long-run revenue. The underlying model is linear, built on 53 quarters of data, with 2.5% MAPE and holdout error of 4.5% (predicted $1.50B vs actual $1.60B). The FY forecast calls for $6.7B in revenue, a 13.7% year-over-year increase, signaling continued growth momentum. The dataset lacks R&D data, but the SG&A-driven ROI and the strong forecast point to a constructive outlook for investors.

Investment Thesis

Our ARDL model tracks Paychex, Inc.'s revenue with exceptional precision (2.5% MAPE), indicating highly predictable cash flows. Each $1 of SG&A spending generates $3.80 in revenue, reflecting strong commercial efficiency.

Next FY Revenue

$6.73B

+13.7% YoY

SG&A Multiplier

$3.80 per $1

Model Accuracy

2.5% MAPE

Holdout validation: The model predicted $1.5B vs the actual $1.6B — an error of 4.5%.

Note: Paychex, Inc. does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q4 2025	$1.5B	$1.6B	$1.4B – $1.5B	+12.8%	✗ Outside range
Q1 2026	$1.6B		$1.5B – $1.6B	+18.4%
Q2 2026	$1.7B		$1.6B – $1.8B	+13.1%
Q3 2026	$1.7B		$1.6B – $1.8B	+10.0%
Q4 2026	$1.8B		$1.6B – $1.9B	+14.1%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Paychex, 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 (Sep–Nov)	1.0098	+1.0%	In line with trend	17
FQ2 (Dec–Feb)	0.9864	-1.4%	In line with trend	16
FQ3 (Mar–May)	1.0	+0.0%	In line with trend	0
FQ4 (Jun–Aug)	1.008	+0.8%	In line with trend	16

How Spending Drives Revenue

Reading this chart: Each line shows the cumulative revenue generated per $1 spent over subsequent quarters. The effect builds over 4-5 quarters as investments mature.

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