Paychex (PAYX) Total Debt (2016 - 2026)
Paychex's (PAYX) quarterly Total Debt came in at $4.6 billion in Q2 2026, down 15.1% year-over-year from $5.4 billion in Q2 2025, and down 14.9% quarter-over-quarter from $5.4 billion in Q1 2026.
Paychex (PAYX) Total Debt (2016 - 2026) Analysis & Trends
Paychex has disclosed Total Debt across 11 years of filings, most recently posting $4.6 billion for Q2 2026.
- In Q2 2026, Total Debt fell 15.1% year-over-year to $4.6 billion; the TTM figure through May 2026 stood at $4.6 billion (down 15.1% YoY), while the FY2026 annual figure was $4.6 billion, down 15.1% from the prior year.
- Total Debt came in at $4.6 billion for Q2 2026 at Paychex, down from $5.4 billion in the prior quarter.
- In the past five years, Total Debt ranged from a high of $5.4 billion in Q4 2025 to a low of $815.0 million in Q1 2022.
- Average Total Debt over 5 years is $2.0 billion, with a median of $834.8 million recorded in 2024.
- Year-over-year, Total Debt surged 542.91% in 2025 and slipped 15.1% in 2026.
- Over 5 years, Total Debt stood at $818.1 million in 2022, then gained by 0.92% to $825.6 million in 2023, then advanced by 1.17% to $835.3 million in 2024, then surged by 542.91% to $5.4 billion in 2025, then retreated by 15.16% to $4.6 billion in 2026.
- Per Business Quant data, the three most recent Total Debt figures were $4.6 billion in Q2 2026, $5.4 billion in Q1 2026, and $5.4 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | - |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 125.34 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 9.93 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 39.29 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 9.60 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 4.96 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 8.92 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | 3.14 Bn |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 6.75 Bn |
| 10 | Paychex | 37.16 Bn | 36.02 Bn | 1.19 Bn | 4.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 4.56 Bn |
| May 31, 2026 | 4.56 Bn |
| Feb 28, 2026 | 4.95 Bn |
| Nov 30, 2025 | 4.97 Bn |
| Aug 31, 2025 | 4.97 Bn |
| May 31, 2025 | 4.97 Bn |
| Feb 28, 2025 | 834.20 Mn |
| Nov 30, 2024 | 835.30 Mn |
| Aug 31, 2024 | 836.50 Mn |
| May 31, 2024 | 836.00 Mn |
| Feb 29, 2024 | 836.10 Mn |
| Nov 30, 2023 | 825.60 Mn |
| Aug 31, 2023 | 825.70 Mn |
| May 31, 2023 | 818.60 Mn |
| Feb 28, 2023 | 818.50 Mn |
| Nov 30, 2022 | 818.10 Mn |
| Aug 31, 2022 | 818.40 Mn |
| May 31, 2022 | 815.10 Mn |
| Feb 28, 2022 | 815.00 Mn |
| Nov 30, 2021 | 815.30 Mn |
Paychex Total Debt 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=total-debt&ticker=PAYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();