Paychex (PAYX) Operating Expenses (2009 - 2026)
Paychex's Operating Expenses came in at $1.01 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 1.3% from $998.1 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Paychex (PAYX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Paychex reported Operating Expenses of $4.01 billion, up 11.8% year-over-year; for FY2026 (ended May 31, 2026), it was $4 billion, up 19.0% from FY2025.
- Operating Expenses has increased in each of the last 16 fiscal years, with a five-year compound annual growth rate of 9.0% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $3.36 billion in FY2025 (+8.4%), $3.1 billion in FY2024 (+4.4%), $2.97 billion in FY2023 (+7.3%) and $2.77 billion in FY2022 (+6.8%).
- The five-year range for quarterly Operating Expenses is $668.2 million (fiscal Q2 2022) to $1.02 billion (fiscal Q3 2026).
- Year-over-year, Operating Expenses has increased for 20 consecutive quarters, with growth averaging 14.0% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.5% (fiscal Q4 2026) and 29.3% (fiscal Q1 2026) over the last five years.
- Business Quant data shows PAYX's Operating Expenses at $1 billion (Q4 2026), $1.02 billion (Q3 2026) and $985.7 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 373.01 Bn | 337.83 Bn | 1.93 Bn | 845.28 Mn |
| 2 | Oracle | 343.83 Bn | 215.96 Bn | - | 12.62 Bn |
| 3 | Sap Se | 284.17 Bn | 211.56 Bn | 8.64 Bn | 8.45 Bn |
| 4 | Salesforce | 182.25 Bn | 138.13 Bn | 8.70 Bn | 6.37 Bn |
| 5 | Automatic Data Processing | 123.04 Bn | 109.84 Bn | 2.53 Bn | 4.18 Bn |
| 6 | ServiceNow | 105.90 Bn | 85.16 Bn | 2.90 Bn | 2.51 Bn |
| 7 | Intuit | 97.51 Bn | 76.85 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 75.90 Bn | 74.99 Bn | - | - |
| 9 | Thomson Reuters | 52.87 Bn | 48.84 Bn | - | 1.18 Bn |
| 10 | Paychex | 42.46 Bn | 37.54 Bn | 1.20 Bn | 1.01 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();