Paychex (PAYX) Operating Leases (2019 - 2026)
Paychex's (PAYX) quarterly Operating Leases came in at $52.2 million in Q2 2026, down 5.95% year-over-year from $55.5 million in Q2 2025, and down 11.97% quarter-over-quarter from $59.3 million in Q1 2026.
Paychex (PAYX) Operating Leases (2019 - 2026) Analysis & Trends
Paychex has disclosed Operating Leases across 8 years of filings, most recently posting $52.2 million for Q2 2026.
- In Q2 2026, Operating Leases fell 5.95% year-over-year to $52.2 million; the TTM figure through May 2026 stood at $52.2 million (down 5.95% YoY), while the FY2026 annual figure was $52.2 million, down 5.95% from the prior year.
- Operating Leases came in at $52.2 million for Q2 2026 at Paychex, down from $59.3 million in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $79.3 million in Q1 2022 to a low of $45.7 million in Q4 2024.
- Average Operating Leases over 5 years is $58.3 million, with a median of $55.3 million recorded in 2023.
- Year-over-year, Operating Leases decreased 23.4% in 2023 and surged 45.73% in 2025.
- Over 5 years, Operating Leases stood at $66.8 million in 2022, then fell by 19.91% to $53.5 million in 2023, then retreated by 14.58% to $45.7 million in 2024, then surged by 45.73% to $66.6 million in 2025, then dropped by 21.62% to $52.2 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $52.2 million in Q2 2026, $59.3 million in Q1 2026, and $66.6 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Paychex | 37.16 Bn | 36.02 Bn | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 62.90 Mn |
| May 31, 2026 | 52.20 Mn |
| Feb 28, 2026 | 59.30 Mn |
| Nov 30, 2025 | 66.60 Mn |
| Aug 31, 2025 | 52.90 Mn |
| May 31, 2025 | 55.50 Mn |
| Feb 28, 2025 | 47.10 Mn |
| Nov 30, 2024 | 45.70 Mn |
| Aug 31, 2024 | 49.40 Mn |
| May 31, 2024 | 49.00 Mn |
| Feb 29, 2024 | 51.50 Mn |
| Nov 30, 2023 | 53.50 Mn |
| Aug 31, 2023 | 55.10 Mn |
| May 31, 2023 | 57.30 Mn |
| Feb 28, 2023 | 62.90 Mn |
| Nov 30, 2022 | 66.80 Mn |
| Aug 31, 2022 | 71.00 Mn |
| May 31, 2022 | 74.80 Mn |
| Feb 28, 2022 | 79.30 Mn |
| Nov 30, 2021 | 86.70 Mn |
Paychex Operating Leases 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-leases&ticker=PAYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();