
PAYX · NASDAQ-GS
Reports Dec 18, 2026.
Consensus is $1.30 EPS for Nov 2026 across 6 estimates, ranging $1.27 to $1.37.
Paychex began FY2027 with 6% revenue growth and double-digit GAAP operating income and EPS growth. Adjusted diluted EPS of $1.34 modestly exceeded the $1.33 consensus and rose 10% year over year; GAAP EPS was $1.21 versus $1.06. Revenue of $1.63 billion compared with $1.54 billion a year earlier. The supplied quarter history does not include Q4 FY2026 for a direct sequential comparison; against the latest earlier result on file, Q3 FY2026, revenue and earnings were lower, consistent with Q3’s year-end processing seasonality.
The central story was faster-than-planned PEO growth and a corresponding mix shift from Management Solutions. PEO and Insurance Solutions revenue rose 12% to $367.6 million, while Management Solutions grew 4% to $1.21 billion; management said the shift reflected stronger ASO-to-PEO upgrades and HCM sales referrals, rather than weaker pricing. Profitability also improved: operating margin expanded 280 basis points to 38.0%, helped by revenue growth and lower acquisition-related costs, while adjusted margin reached 42.0%. Paychex held total FY2027 revenue and adjusted EPS growth guidance at 5%–6% and 7%–9%, respectively, but raised PEO growth and client-fund interest outlooks. The quarter also featured expanded AI deployment, though management described AI investment as still in an early stage.
PEO and Insurance Solutions was the standout growth area, with revenue up 12% to $367.6 million. Management cited high-single-digit worksite employee growth, increased insurance volumes, record PEO retention and strong upgrades from ASO clients. It said ASO-to-PEO conversions were twice expectations, while referrals from HCM sales teams into PEO rose nearly 50% year over year. Broker referrals increased 43%, and broker bookings benefited from higher average deal size and ancillary product attachment.
That strength pulled growth toward PEO and away from Management Solutions, which management characterized as a favorable mix change toward a higher-retention, higher-lifetime-value offering. Management Solutions revenue still increased 4% to $1.21 billion, driven by revenue per client through pricing and product penetration; executives said it was slightly below their expectations because of the faster-than-expected client migration, not weakening price realization. PEO growth guidance was raised, but management flagged upcoming October and January benefit enrollments as reasons for caution.
Operating income grew 14% to $619.2 million, and GAAP operating margin increased from 35.2% to 38.0%. Adjusted operating income rose 9% to $684.7 million and adjusted operating margin expanded from 40.7% to 42.0%. Revenue grew 6% while total expenses increased only 1%, as lower Paycor-related acquisition costs and continued efficiencies offset increased PEO insurance costs and investment in sales, technology and other priorities.
The difference between GAAP and adjusted growth reflects lower acquisition-related costs: $65.5 million this quarter versus $84.8 million a year earlier. Net income increased 12% to $429.7 million; diluted EPS rose 14% to $1.21, also benefiting from lower average diluted shares. Adjusted diluted EPS increased 10% to $1.34 and slightly exceeded the $1.33 consensus.
Paychex reported more than 2,000 AI agents and features deployed across the business, up from about 600 active agents a quarter earlier, and said more than 10,000 employees had been given AI tools. Agentic payroll capabilities increased automated payroll processing by nearly 20% from January through August. In a pilot involving more than 50,000 businesses, the WISE engine helped prevent approximately 90% of the targeted payroll errors.
The company launched WISE Hire, an agentic recruiting solution for small and midsized businesses, and is extending WISE into Microsoft applications. Paychex also said it is investing five times as much in AI in FY2027 as in the prior fiscal year. Management cited early internal productivity and customer-outcome benefits, while describing customer-facing AI monetization as still at an early stage.