Automatic Data Processing (ADP) Capital Expenditures (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Capital Expenditures came in at $72.8 million in Q2 2026, up 113.49% year-over-year from $34.1 million in Q2 2025, and up 43.87% quarter-over-quarter from $50.6 million in Q1 2026.
Automatic Data Processing (ADP) Capital Expenditures (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Capital Expenditures for 18 consecutive years, with $72.8 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Capital Expenditures rose 113.49% year-over-year to $72.8 million in Q2 2026; TTM through Jun 2026 was $196.6 million, a 16.54% increase from a year earlier, with the FY2026 full-year figure at $196.6 million, up 16.54% from the prior year.
- Capital Expenditures was $72.8 million for Q2 2026 at Automatic Data Processing, up from $50.6 million in the prior quarter.
- Over five years, Capital Expenditures peaked at $72.8 million in Q2 2026 and troughed at $26.5 million in Q4 2025.
- A 5-year average of $48.8 million and a median of $50.0 million in 2022 frame the typical range for Capital Expenditures.
- Across the five-year window, Capital Expenditures sank 38.93% in 2025 and soared 113.49% in 2026, its largest moves.
- Over 5 years, Capital Expenditures stood at $49.7 million in 2022, then increased by 10.26% to $54.8 million in 2023, then fell by 28.1% to $39.4 million in 2024, then sank by 32.74% to $26.5 million in 2025, then soared by 174.72% to $72.8 million in 2026.
- The last three Capital Expenditures figures came in at $72.8 million (Q2 2026), $50.6 million (Q1 2026), and $26.5 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 14.55 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 28.50 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -134.83 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 171.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 114.00 Mn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 72.80 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 27.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 6.42 Bn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| 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 | 34.10 Mn |
| Mar 31, 2025 | 36.40 Mn |
| Dec 31, 2024 | 39.40 Mn |
| Sep 30, 2024 | 58.80 Mn |
| Jun 30, 2024 | 54.70 Mn |
| Mar 31, 2024 | 59.60 Mn |
| Dec 31, 2023 | 54.80 Mn |
| Sep 30, 2023 | 39.30 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 | 51.00 Mn |
| Dec 31, 2021 | 39.90 Mn |
| Sep 30, 2021 | 35.90 Mn |
Automatic Data Processing Capital Expenditures 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=capital-expenditures&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();