Paychex (PAYX) EBITDA (2009 - 2026)
Paychex (PAYX) reported EBITDA of $795 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 11.7% from $711.6 million a year earlier and up 1.6% from the prior quarter.
Paychex (PAYX) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Paychex's EBITDA came in at $3.29 billion, up 20.7% year-over-year; for FY2026 (ended May 31, 2026), it came in at $3.2 billion, up 20.7% from FY2025.
- EBITDA has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 11.7% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $2.65 billion in FY2025 (+2.8%), $2.58 billion in FY2024 (+6.3%), $2.43 billion in FY2023 (+8.7%) and $2.23 billion in FY2022 (+21.1%).
- Five-year quarterly EBITDA spans a low of $495 million in fiscal Q4 2022 and a high of $965.8 million in fiscal Q3 2026.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 13.1% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q4 2026 (growth of 35.7%); the low point was fiscal Q4 2025 (a decline of 1.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $782.5 million (Q4 2026), $965.8 million (Q3 2026) and $742.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 373.01 Bn | 337.83 Bn | 1.93 Bn | 1.09 Bn |
| 2 | Oracle | 343.83 Bn | 215.96 Bn | - | 10.13 Bn |
| 3 | Sap Se | 284.17 Bn | 211.56 Bn | 8.64 Bn | 3.75 Bn |
| 4 | Salesforce | 182.25 Bn | 138.13 Bn | 8.70 Bn | 3.89 Bn |
| 5 | Automatic Data Processing | 123.04 Bn | 109.84 Bn | 2.53 Bn | -1.19 Bn |
| 6 | ServiceNow | 105.90 Bn | 85.16 Bn | 2.90 Bn | 954.00 Mn |
| 7 | Intuit | 97.51 Bn | 76.85 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 75.90 Bn | 74.99 Bn | - | - |
| 9 | Thomson Reuters | 52.87 Bn | 48.84 Bn | - | 449.00 Mn |
| 10 | Paychex | 42.46 Bn | 37.54 Bn | 1.20 Bn | 795.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 795.00 Mn |
| May 31, 2026 | 782.50 Mn |
| Feb 28, 2026 | 965.80 Mn |
| Nov 30, 2025 | 742.40 Mn |
| Aug 31, 2025 | 711.60 Mn |
| May 31, 2025 | 576.70 Mn |
| Feb 28, 2025 | 794.20 Mn |
| Nov 30, 2024 | 638.60 Mn |
| Aug 31, 2024 | 644.20 Mn |
| May 31, 2024 | 585.70 Mn |
| Feb 29, 2024 | 752.90 Mn |
| Nov 30, 2023 | 609.00 Mn |
| Aug 31, 2023 | 634.70 Mn |
| May 31, 2023 | 553.50 Mn |
| Feb 28, 2023 | 711.60 Mn |
| Nov 30, 2022 | 571.10 Mn |
| Aug 31, 2022 | 592.60 Mn |
| May 31, 2022 | 495.00 Mn |
| Feb 28, 2022 | 662.30 Mn |
| Nov 30, 2021 | 538.90 Mn |
Paychex EBITDA 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=ebitda&ticker=PAYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();