Automatic Data Processing (ADP) Research & Development (2022 - 2026)
Automatic Data Processing's (ADP) quarterly Research & Development came in at $265.9 million in Q2 2026, down 1.3% year-over-year from $269.4 million in Q2 2025, and up 4.73% quarter-over-quarter from $253.9 million in Q1 2026.
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Automatic Data Processing (ADP) Research & Development (2022 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Research & Development for 5 consecutive years, with $265.9 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Research & Development fell 1.3% year-over-year to $265.9 million in Q2 2026; TTM through Jun 2026 was $1.0 billion, a 4.07% increase from a year earlier, with the FY2026 full-year figure at $1.0 billion, up 4.07% from the prior year.
- Research & Development was $265.9 million for Q2 2026 at Automatic Data Processing, up from $253.9 million in the prior quarter.
- Over five years, Research & Development peaked at $269.4 million in Q2 2025 and troughed at $204.2 million in Q4 2022.
- A 5-year average of $238.6 million and a median of $241.1 million in 2024 frame the typical range for Research & Development.
- The widest YoY moves for Research & Development: up 16.35% in 2024, down 1.65% in 2024.
- Over 5 years, Research & Development stood at $204.2 million in 2022, then rose by 12.0% to $228.7 million in 2023, then increased by 4.72% to $239.5 million in 2024, then climbed by 7.64% to $257.8 million in 2025, then increased by 3.14% to $265.9 million in 2026.
- The last three Research & Development figures came in at $265.9 million (Q2 2026), $253.9 million (Q1 2026), and $257.8 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 339.50 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 2.40 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 3.86 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 1.37 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 1.26 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 34.12 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 747.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 265.90 Mn |
| Mar 31, 2026 | 253.90 Mn |
| Dec 31, 2025 | 257.80 Mn |
| Sep 30, 2025 | 251.20 Mn |
| Jun 30, 2025 | 269.40 Mn |
| Mar 31, 2025 | 247.10 Mn |
| Dec 31, 2024 | 239.50 Mn |
| Sep 30, 2024 | 232.60 Mn |
| Jun 30, 2024 | 247.90 Mn |
| Mar 31, 2024 | 242.70 Mn |
| Dec 31, 2023 | 228.70 Mn |
| Sep 30, 2023 | 236.50 Mn |
| Jun 30, 2023 | 222.20 Mn |
| Mar 31, 2023 | 208.60 Mn |
| Dec 31, 2022 | 204.20 Mn |
| Sep 30, 2022 | 209.80 Mn |
API Access
Automatic Data Processing Research & Development 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=research-and-development&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();