Automatic Data Processing (ADP) Shares Outstanding (Entity) (2009 - 2026)
Automatic Data Processing (ADP) reported Shares Outstanding (Entity) of 397.8 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.9% from 405.3 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
Dating back to fiscal Q3 2009, Automatic Data Processing's Shares Outstanding (Entity) record includes 70 quarters.
- Shares Outstanding (Entity) has declined for 17 consecutive fiscal years, with a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Entity) came in at 405.3 million in FY2025 (-0.7%), 408.1 million in FY2024 (-1.0%), 412.1 million in FY2023 (-1.0%) and 416.1 million in FY2022 (-1.8%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Shares Outstanding (Entity) in data going back to fiscal Q3 2009.
- Year over year, Shares Outstanding (Entity) has now declined in each of the last 47 quarters, with an average decline of 1.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Entity) ran from 0.7% in fiscal Q4 2025 to 1.9% in fiscal Q4 2026.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 400.6 million (Q3 2026), 403 million (Q2 2026) and 404.9 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 3.02 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | - |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 823.00 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 | 397.80 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 268.38 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 351.96 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 397.80 Mn |
| Mar 31, 2026 | 400.60 Mn |
| Dec 31, 2025 | 403.00 Mn |
| Sep 30, 2025 | 404.90 Mn |
| Jun 30, 2025 | 405.30 Mn |
| Mar 31, 2025 | 406.30 Mn |
| Dec 31, 2024 | 406.90 Mn |
| Sep 30, 2024 | 407.70 Mn |
| Jun 30, 2024 | 408.10 Mn |
| Mar 31, 2024 | 409.80 Mn |
| Dec 31, 2023 | 410.70 Mn |
| Sep 30, 2023 | 411.70 Mn |
| Jun 30, 2023 | 412.10 Mn |
| Mar 31, 2023 | 413.50 Mn |
| Dec 31, 2022 | 414.40 Mn |
| Sep 30, 2022 | 415.20 Mn |
| Jun 30, 2022 | 416.10 Mn |
| Mar 31, 2022 | 418.20 Mn |
| Dec 31, 2021 | 420.40 Mn |
| Sep 30, 2021 | 422.00 Mn |
API Access
Automatic Data Processing Shares Outstanding (Entity) 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-entity&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();