Paychex (PAYX) Depreciation and Depletion (2009 - 2026)
Paychex (PAYX) posted Depreciation and Depletion of $39.1 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 13.3% from $34.5 million a year earlier and up 4.0% from the prior quarter.
Paychex (PAYX) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Depreciation and Depletion at Paychex was $147.7 million, up 17.1% year-over-year; for FY2026 (ended May 31, 2026), it came in at $143.1 million, up 20.5% from FY2025.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- In prior fiscal years, Paychex's Depreciation and Depletion was $118.8 million in FY2025 (-6.8%), $127.5 million in FY2024 (-0.7%), $128.4 million in FY2023 (-4.0%) and $133.7 million in FY2022 (+8.3%).
- The fiscal Q1 2027 figure stands as the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2010.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last five quarters, with growth averaging 9.9% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q1 2026, with growth of 26.8%; the weakest was fiscal Q1 2025, with a decline of 10.5%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $37.6 million (Q4 2026), $36.2 million (Q3 2026) and $34.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | - |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 3.20 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | - |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 162.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | - |
| 10 | Paychex | 41.64 Bn | 36.72 Bn | 1.20 Bn | 39.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 39.10 Mn |
| May 31, 2026 | 37.60 Mn |
| Feb 28, 2026 | 36.20 Mn |
| Nov 30, 2025 | 34.80 Mn |
| Aug 31, 2025 | 34.50 Mn |
| May 31, 2025 | 32.00 Mn |
| Feb 28, 2025 | 30.30 Mn |
| Nov 30, 2024 | 29.30 Mn |
| Aug 31, 2024 | 27.20 Mn |
| May 31, 2024 | 32.80 Mn |
| Feb 29, 2024 | 32.30 Mn |
| Nov 30, 2023 | 32.00 Mn |
| Aug 31, 2023 | 30.40 Mn |
| May 31, 2023 | 32.60 Mn |
| Feb 28, 2023 | 32.70 Mn |
| Nov 30, 2022 | 31.70 Mn |
| Aug 31, 2022 | 31.40 Mn |
| May 31, 2022 | 35.60 Mn |
| Feb 28, 2022 | 34.90 Mn |
| Nov 30, 2021 | 32.50 Mn |
Paychex Depreciation and Depletion 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=depreciation-and-depletion&ticker=PAYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PAYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();