Automatic Data Processing (ADP) Retained Earnings (2009 - 2026)
Automatic Data Processing (ADP) reported Retained Earnings of $26.97 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.8% from $25.24 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Retained Earnings (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Automatic Data Processing's Retained Earnings record includes 69 quarters.
- Retained Earnings has increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- By fiscal year, Retained Earnings came in at $25.24 billion in FY2025 (+6.9%), $23.62 billion in FY2024 (+6.8%), $22.12 billion in FY2023 (+6.9%) and $20.7 billion in FY2022 (+6.4%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Retained Earnings in data going back to fiscal Q4 2009.
- Year over year, Retained Earnings has now increased in each of the last 44 quarters, with growth averaging 6.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 5.9% in fiscal Q2 2022 to 6.9% in fiscal Q2 2025.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $26.67 billion (Q3 2026), $25.99 billion (Q2 2026) and $25.62 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | -1.63 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | -1.11 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 55.49 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 27.11 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 6.01 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 26.97 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 19.05 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -15.20 Bn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 9.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.97 Bn |
| Mar 31, 2026 | 26.67 Bn |
| Dec 31, 2025 | 25.99 Bn |
| Sep 30, 2025 | 25.62 Bn |
| Jun 30, 2025 | 25.24 Bn |
| Mar 31, 2025 | 24.96 Bn |
| Dec 31, 2024 | 24.34 Bn |
| Sep 30, 2024 | 24.00 Bn |
| Jun 30, 2024 | 23.62 Bn |
| Mar 31, 2024 | 23.37 Bn |
| Dec 31, 2023 | 22.76 Bn |
| Sep 30, 2023 | 22.46 Bn |
| Jun 30, 2023 | 22.12 Bn |
| Mar 31, 2023 | 21.86 Bn |
| Dec 31, 2022 | 21.33 Bn |
| Sep 30, 2022 | 21.04 Bn |
| Jun 30, 2022 | 20.70 Bn |
| Mar 31, 2022 | 20.50 Bn |
| Dec 31, 2021 | 20.01 Bn |
| Sep 30, 2021 | 19.75 Bn |
API Access
Automatic Data Processing Retained Earnings 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=retained-earnings&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();