Paychex (PAYX) Other Operating Expenses (2009 - 2026)
Paychex's Other Operating Expenses came in at $364.6 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 10.8% from $329 million a year earlier and up 5.3% from the prior quarter.
Paychex (PAYX) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Paychex reported Other Operating Expenses of $1.41 billion, up 5.9% year-over-year; for FY2026 (ended May 31, 2026), it was $1.37 billion, down 0.6% from FY2025.
- Other Operating Expenses carries a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $1.38 billion in FY2025 (-6.8%), $1.48 billion in FY2024 (+1.8%), $1.45 billion in FY2023 (+7.1%) and $1.36 billion in FY2022 (+6.7%).
- The fiscal Q1 2027 figure represents the highest quarterly Other Operating Expenses since fiscal Q3 2025.
- Year-over-year, Other Operating Expenses increased in three of the last eight quarters, with an average decline of 1.2%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2026 (growth of 39.4%), and the weakest in fiscal Q4 2025 (a decline of 33.8%).
- Business Quant data shows PAYX's Other Operating Expenses at $346.2 million (Q4 2026), $360 million (Q3 2026) and $335.1 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.40 Bn | 425.35 Bn | 1.64 Bn |
| 2 | Oracle | 382.94 Bn | 255.07 Bn | - |
| 3 | Sap Se | 261.10 Bn | 188.88 Bn | 8.40 Bn |
| 4 | Salesforce | 194.91 Bn | 150.78 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.90 Bn | 124.36 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 115.58 Bn | 97.71 Bn | 2.51 Bn |
| 7 | Intuit | 89.20 Bn | 68.55 Bn | 3.44 Bn |
| 8 | Relx | 71.58 Bn | 70.67 Bn | - |
| 9 | Strategy | 50.00 Bn | 42.99 Bn | 81.55 Mn |
| 10 | Paychex | 39.43 Bn | 34.51 Bn | 1.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 364.60 Mn |
| May 31, 2026 | 346.20 Mn |
| Feb 28, 2026 | 360.00 Mn |
| Nov 30, 2025 | 335.10 Mn |
| Aug 31, 2025 | 329.00 Mn |
| May 31, 2025 | 248.30 Mn |
| Feb 28, 2025 | 370.70 Mn |
| Nov 30, 2024 | 379.10 Mn |
| Aug 31, 2024 | 380.00 Mn |
| May 31, 2024 | 375.20 Mn |
| Feb 29, 2024 | 379.80 Mn |
| Nov 30, 2023 | 364.10 Mn |
| Aug 31, 2023 | 360.20 Mn |
| May 31, 2023 | 369.80 Mn |
| Feb 28, 2023 | 372.90 Mn |
| Nov 30, 2022 | 359.30 Mn |
| Aug 31, 2022 | 351.00 Mn |
| May 31, 2022 | 360.00 Mn |
| Feb 28, 2022 | 352.20 Mn |
| Nov 30, 2021 | 331.60 Mn |
Paychex Other 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=other-operating-expenses&ticker=PAYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();