Paychex (PAYX) Other Accumulated Expenses (2009 - 2026)
Paychex (PAYX) posted Other Accumulated Expenses of $648.8 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 1.2% from $641.1 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Paychex (PAYX) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Paychex's Other Accumulated Expenses came in at $637.1 million, up 15.4% from FY2025.
- Annual Other Accumulated Expenses has increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 13.6% (FY2021 to FY2026).
- In prior fiscal years, Paychex's Other Accumulated Expenses was $552 million in FY2025 (+17.5%), $469.8 million in FY2024 (+18.8%), $395.4 million in FY2023 (+1.8%) and $388.4 million in FY2022 (+15.3%).
- The fiscal Q1 2027 figure stands as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2009.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last six quarters, with growth averaging 12.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q1 2024, with growth of 54.4%; the weakest was fiscal Q2 2023, with a decline of 15.3%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $637.1 million (Q4 2026), $609 million (Q3 2026) and $531.5 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Paychex | 39.41 Bn | 34.49 Bn | 1.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 648.80 Mn |
| May 31, 2026 | 637.10 Mn |
| Feb 28, 2026 | 609.00 Mn |
| Nov 30, 2025 | 531.50 Mn |
| Aug 31, 2025 | 641.10 Mn |
| May 31, 2025 | 552.00 Mn |
| Feb 28, 2025 | 455.30 Mn |
| Nov 30, 2024 | 458.90 Mn |
| Aug 31, 2024 | 478.70 Mn |
| May 31, 2024 | 469.80 Mn |
| Feb 29, 2024 | 518.00 Mn |
| Nov 30, 2023 | 496.30 Mn |
| Aug 31, 2023 | 558.10 Mn |
| May 31, 2023 | 395.40 Mn |
| Feb 28, 2023 | 370.90 Mn |
| Nov 30, 2022 | 346.10 Mn |
| Aug 31, 2022 | 361.40 Mn |
| May 31, 2022 | 388.40 Mn |
| Feb 28, 2022 | 382.40 Mn |
| Nov 30, 2021 | 408.40 Mn |
API Access
Paychex Other Accumulated 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=other-accumulated-expenses&ticker=PAYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();