Automatic Data Processing (ADP) Treasury Stock (2009 - 2026)
Automatic Data Processing (ADP) posted Treasury Shares of 240.9 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.2% from 233.4 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Treasury Stock (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Automatic Data Processing has reported Treasury Shares for 69 quarters.
- Annual Treasury Shares has increased for 17 consecutive fiscal years, with a five-year compound annual growth rate of 2.3% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Treasury Shares was 233.4 million in FY2025 (+1.2%), 230.6 million in FY2024 (+1.8%), 226.6 million in FY2023 (+1.8%) and 222.7 million in FY2022 (+3.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly Treasury Shares in data going back to fiscal Q4 2009.
- On a year-over-year basis, Treasury Shares has increased in each of the last 47 quarters, with growth averaging 1.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Treasury Shares ranged from 1.2% (fiscal Q1 2026) to 3.7% (fiscal Q3 2022).
- According to Business Quant data, Treasury Shares for the three prior fiscal quarters was 238.1 million (Q3 2026), 235.7 million (Q2 2026) and 233.8 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | - |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | -12.01 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 55.02 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 23.96 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 5.37 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | - |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | - |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.96 Bn |
| Jun 30, 2026 | 23.17 Bn |
| Mar 31, 2026 | 22.54 Bn |
| Dec 31, 2025 | 21.96 Bn |
| Sep 30, 2025 | 21.45 Bn |
| Jun 30, 2025 | 21.02 Bn |
| Mar 31, 2025 | 20.70 Bn |
| Dec 31, 2024 | 20.41 Bn |
| Sep 30, 2024 | 20.14 Bn |
| Jun 30, 2024 | 19.74 Bn |
| Mar 31, 2024 | 19.31 Bn |
| Dec 31, 2023 | 19.02 Bn |
| Sep 30, 2023 | 18.77 Bn |
| Jun 30, 2023 | 18.47 Bn |
| Mar 31, 2023 | 18.16 Bn |
| Dec 31, 2022 | 17.91 Bn |
| Sep 30, 2022 | 17.70 Bn |
| Jun 30, 2022 | 17.34 Bn |
| Mar 31, 2022 | 16.85 Bn |
| Dec 31, 2021 | 16.36 Bn |
API Access
Automatic Data Processing Treasury Stock 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=treasury-shares&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();