Automatic Data Processing (ADP) Treasury Shares (2009 - 2026)
Automatic Data Processing's Treasury Shares came in at $23.17 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.2% from $21.02 billion a year earlier and up 2.8% from the prior quarter.
Automatic Data Processing (ADP) Treasury Shares (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Automatic Data Processing's Treasury Shares data covers 69 quarters.
- Treasury Shares has increased in each of the last 17 fiscal years, with a five-year compound annual growth rate of 8.5% (FY2021 to FY2026).
- Going back by fiscal year, Treasury Shares was $21.02 billion in FY2025 (+6.5%), $19.74 billion in FY2024 (+6.9%), $18.47 billion in FY2023 (+6.5%) and $17.34 billion in FY2022 (+12.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Treasury Shares in data going back to fiscal Q4 2009.
- Year-over-year, Treasury Shares has increased for 65 consecutive quarters, with growth averaging 7.7% over the last eight quarters.
- The year-over-year growth in Treasury Shares has ranged between 6.1% (fiscal Q1 2024) and 12.9% (fiscal Q3 2022) over the last five years.
- Business Quant data shows ADP's Treasury Shares at $22.54 billion (Q3 2026), $21.96 billion (Q2 2026) and $21.45 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -10.68 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 258.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 38.59 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 240.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | - |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | -2.68 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 7.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.90 Mn |
| Mar 31, 2026 | 238.10 Mn |
| Dec 31, 2025 | 235.70 Mn |
| Sep 30, 2025 | 233.80 Mn |
| Jun 30, 2025 | 233.40 Mn |
| Mar 31, 2025 | 232.40 Mn |
| Dec 31, 2024 | 231.80 Mn |
| Sep 30, 2024 | 231.00 Mn |
| Jun 30, 2024 | 230.60 Mn |
| Mar 31, 2024 | 228.90 Mn |
| Dec 31, 2023 | 228.00 Mn |
| Sep 30, 2023 | 227.00 Mn |
| Jun 30, 2023 | 226.60 Mn |
| Mar 31, 2023 | 225.20 Mn |
| Dec 31, 2022 | 224.40 Mn |
| Sep 30, 2022 | 223.60 Mn |
| Jun 30, 2022 | 222.70 Mn |
| Mar 31, 2022 | 220.50 Mn |
| Dec 31, 2021 | 218.30 Mn |
| Sep 30, 2021 | 216.70 Mn |
Automatic Data Processing Treasury Shares 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_KEY
import 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();