Automatic Data Processing (ADP) Shares Outstanding (2009 - 2026)
Automatic Data Processing (ADP) recorded Shares Outstanding of 402.3 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.2% from 407.1 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Shares Outstanding (2009 - 2026) Analysis & Trends
Starting with fiscal Q3 2009, Automatic Data Processing's Shares Outstanding history includes 70 quarters.
- Annual Shares Outstanding has declined for 17 straight fiscal years, with a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 407.1 million in FY2025 (-0.9%), 410.6 million in FY2024 (-0.7%), 413.7 million in FY2023 (-1.2%) and 418.8 million in FY2022 (-1.8%).
- Quarterly Shares Outstanding has ranged from 401.7 million in fiscal Q3 2026 to 421.4 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding has declined for 65 consecutive quarters, with an average decline of 0.9% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding ran from 0.7% in fiscal Q1 2026 to 1.8% in fiscal Q3 2022.
- Per Business Quant, the preceding three fiscal quarters came in at 401.7 million (Q3 2026), 403.8 million (Q2 2026) and 405.1 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 2.97 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 820.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 402.30 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | 1.83 Bn |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 448.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 402.30 Mn |
| Mar 31, 2026 | 401.70 Mn |
| Dec 31, 2025 | 403.80 Mn |
| Sep 30, 2025 | 405.10 Mn |
| Jun 30, 2025 | 407.10 Mn |
| Mar 31, 2025 | 406.90 Mn |
| Dec 31, 2024 | 407.60 Mn |
| Sep 30, 2024 | 407.90 Mn |
| Jun 30, 2024 | 410.60 Mn |
| Mar 31, 2024 | 410.50 Mn |
| Dec 31, 2023 | 411.10 Mn |
| Sep 30, 2023 | 411.70 Mn |
| Jun 30, 2023 | 413.70 Mn |
| Mar 31, 2023 | 413.70 Mn |
| Dec 31, 2022 | 414.30 Mn |
| Sep 30, 2022 | 414.60 Mn |
| Jun 30, 2022 | 418.80 Mn |
| Mar 31, 2022 | 418.10 Mn |
| Dec 31, 2021 | 419.80 Mn |
| Sep 30, 2021 | 421.40 Mn |
API Access
Automatic Data Processing Shares Outstanding 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=shares-outstanding&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();