Automatic Data Processing (ADP) Change in Property, Plant and Equipment (2009 - 2026)
Automatic Data Processing (ADP) posted Change in Property, Plant and Equipment of -$72.8 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$26.6 million a year earlier.
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Analysis
Automatic Data Processing (ADP) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Change in Property, Plant and Equipment came in at -$196.6 million.
- In prior fiscal years, Automatic Data Processing's Change in Property, Plant and Equipment was -$157.9 million in FY2025, -$180.1 million in FY2024, -$206.3 million in FY2023 and -$140.2 million in FY2022.
- The fiscal Q4 2026 figure stands as the lowest quarterly Change in Property, Plant and Equipment since fiscal Q1 2018.
- According to Business Quant data, Change in Property, Plant and Equipment for the three prior fiscal quarters was -$50.6 million (Q3 2026), -$26.5 million (Q2 2026) and -$46.7 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | -8.01 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | -28.50 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 226.63 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | -171.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -52.70 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | -91.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | -27.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -462,000.00 |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 176.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -52.70 Mn |
| Jun 30, 2026 | -72.80 Mn |
| Mar 31, 2026 | -50.60 Mn |
| Dec 31, 2025 | -26.50 Mn |
| Sep 30, 2025 | -46.70 Mn |
| Jun 30, 2025 | -26.60 Mn |
| Mar 31, 2025 | -36.40 Mn |
| Dec 31, 2024 | -39.40 Mn |
| Sep 30, 2024 | -55.50 Mn |
| Jun 30, 2024 | -54.70 Mn |
| Mar 31, 2024 | -57.70 Mn |
| Dec 31, 2023 | -50.40 Mn |
| Sep 30, 2023 | -17.30 Mn |
| Jun 30, 2023 | -60.90 Mn |
| Mar 31, 2023 | -50.30 Mn |
| Dec 31, 2022 | -49.70 Mn |
| Sep 30, 2022 | -45.40 Mn |
| Jun 30, 2022 | -47.60 Mn |
| Mar 31, 2022 | -43.00 Mn |
| Dec 31, 2021 | -39.90 Mn |
API Access
Automatic Data Processing Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "ticker": "ADP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-property-plant-and-equipment&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();