Paychex (PAYX) Payables (2009 - 2026)
Paychex (PAYX) posted Payables of $141.4 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 1.7% from $139.1 million a year earlier but down 8.7% from the prior quarter.
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Analysis
Paychex (PAYX) Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Paychex's Payables came in at $154.8 million, up 4.3% from FY2025.
- Annual Payables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- In prior fiscal years, Paychex's Payables was $148.4 million in FY2025 (+20.7%), $123 million in FY2024 (+29.6%), $94.9 million in FY2023 (-17.0%) and $114.4 million in FY2022 (+18.7%).
- Quarterly Payables has run from a low of $94.8 million in fiscal Q2 2022 to a high of $155.8 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Payables increased in seven of the last eight quarters, with growth averaging 16.3%.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q3 2022, with growth of 48.5%; the weakest was fiscal Q4 2023, with a decline of 17.0%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $154.8 million (Q4 2026), $132.4 million (Q3 2026) and $155.8 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 373.01 Bn | 337.83 Bn | 1.93 Bn | 623.89 Mn |
| 2 | Oracle | 343.83 Bn | 215.96 Bn | - | 18.69 Bn |
| 3 | Sap Se | 284.17 Bn | 211.56 Bn | 8.64 Bn | 3.40 Bn |
| 4 | Salesforce | 182.25 Bn | 138.13 Bn | 8.70 Bn | 7.02 Bn |
| 5 | Automatic Data Processing | 123.04 Bn | 109.84 Bn | 2.53 Bn | 808.90 Mn |
| 6 | ServiceNow | 105.90 Bn | 85.16 Bn | 2.90 Bn | 2.32 Bn |
| 7 | Intuit | 97.51 Bn | 76.85 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 75.90 Bn | 74.99 Bn | - | 5.31 Bn |
| 9 | Thomson Reuters | 52.87 Bn | 48.84 Bn | - | 565.00 Mn |
| 10 | Paychex | 42.46 Bn | 37.54 Bn | 1.20 Bn | 141.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 141.40 Mn |
| May 31, 2026 | 154.80 Mn |
| Feb 28, 2026 | 132.40 Mn |
| Nov 30, 2025 | 155.80 Mn |
| Aug 31, 2025 | 139.10 Mn |
| May 31, 2025 | 148.40 Mn |
| Feb 28, 2025 | 136.30 Mn |
| Nov 30, 2024 | 107.40 Mn |
| Aug 31, 2024 | 99.80 Mn |
| May 31, 2024 | 123.00 Mn |
| Feb 29, 2024 | 112.80 Mn |
| Nov 30, 2023 | 105.90 Mn |
| Aug 31, 2023 | 109.00 Mn |
| May 31, 2023 | 94.90 Mn |
| Feb 28, 2023 | 132.70 Mn |
| Nov 30, 2022 | 96.80 Mn |
| Aug 31, 2022 | 95.00 Mn |
| May 31, 2022 | 114.40 Mn |
| Feb 28, 2022 | 120.10 Mn |
| Nov 30, 2021 | 94.80 Mn |
API Access
Paychex Payables 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=payables&ticker=PAYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();