Paychex (PAYX) Operating Expenses (2009 - 2026)
Paychex's (PAYX) quarterly Operating Expenses came in at $1.0 billion in Q2 2026, little changed year-over-year from $996.2 million in Q2 2025, and down 1.58% quarter-over-quarter from $1.0 billion in Q1 2026.
Paychex (PAYX) Operating Expenses (2009 - 2026) Analysis & Trends
Paychex has disclosed Operating Expenses across 18 years of filings, most recently posting $1.0 billion for Q2 2026.
- In Q2 2026, Operating Expenses changed 0.46% year-over-year to $1.0 billion; the TTM figure through May 2026 stood at $4.0 billion (up 18.95% YoY), while the FY2026 annual figure was $4.0 billion, up 18.95% from the prior year.
- Operating Expenses came in at $1.0 billion for Q2 2026 at Paychex, down from $1.0 billion in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $1.0 billion in Q1 2026 to a low of $710.6 million in Q3 2022.
- Average Operating Expenses over 5 years is $828.2 million, with a median of $777.6 million recorded in 2023.
- Year-over-year, Operating Expenses advanced 29.32% in 2025 and climbed 0.46% in 2026.
- Over 5 years, Operating Expenses stood at $718.0 million in 2022, then increased by 4.69% to $751.7 million in 2023, then climbed by 3.61% to $778.8 million in 2024, then gained by 26.57% to $985.7 million in 2025, then advanced by 1.53% to $1.0 billion in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $1.0 billion in Q2 2026, $1.0 billion in Q1 2026, and $985.7 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 12.62 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 3.88 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Paychex | 37.16 Bn | 36.02 Bn | 1.19 Bn | 1.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.01 Bn |
| May 31, 2026 | 1.00 Bn |
| Feb 28, 2026 | 1.02 Bn |
| Nov 30, 2025 | 985.70 Mn |
| Aug 31, 2025 | 998.10 Mn |
| May 31, 2025 | 996.20 Mn |
| Feb 28, 2025 | 817.20 Mn |
| Nov 30, 2024 | 778.80 Mn |
| Aug 31, 2024 | 771.80 Mn |
| May 31, 2024 | 813.30 Mn |
| Feb 29, 2024 | 789.50 Mn |
| Nov 30, 2023 | 751.70 Mn |
| Aug 31, 2023 | 749.70 Mn |
| May 31, 2023 | 776.30 Mn |
| Feb 28, 2023 | 769.10 Mn |
| Nov 30, 2022 | 718.00 Mn |
| Aug 31, 2022 | 710.60 Mn |
| May 31, 2022 | 750.30 Mn |
| Feb 28, 2022 | 713.20 Mn |
| Nov 30, 2021 | 668.20 Mn |
Paychex Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=PAYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PAYX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();