Automatic Data Processing (ADP) Shares Outstanding (Diluted) (2009 - 2026)
Automatic Data Processing's Shares Outstanding (Diluted) was 403.3 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.3% from 408.7 million a year earlier but up 0.2% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
From fiscal Q3 2009 onward, Automatic Data Processing has reported Shares Outstanding (Diluted) for 70 quarters.
- Shares Outstanding (Diluted) has now declined for 17 consecutive fiscal years, with a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Diluted) was 408.7 million in FY2025 (-0.8%), 412.2 million in FY2024 (-0.8%), 415.7 million in FY2023 (-1.3%) and 421.1 million in FY2022 (-1.6%).
- Quarterly Shares Outstanding (Diluted) has moved between 402.5 million (fiscal Q3 2026) and 423.8 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 65 straight quarters, with an average decline of 1.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Diluted) ranged from 0.7% (fiscal Q1 2026) to 1.8% (fiscal Q3 2022).
- Per Business Quant data, ADP's Shares Outstanding (Diluted) in the three fiscal quarters before Q4 2026 was 402.5 million (Q3 2026), 404.7 million (Q2 2026) and 406.5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 3.00 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 821.00 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 | 403.30 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | 1.84 Bn |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 449.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 403.30 Mn |
| Mar 31, 2026 | 402.50 Mn |
| Dec 31, 2025 | 404.70 Mn |
| Sep 30, 2025 | 406.50 Mn |
| Jun 30, 2025 | 408.70 Mn |
| Mar 31, 2025 | 408.50 Mn |
| Dec 31, 2024 | 409.00 Mn |
| Sep 30, 2024 | 409.50 Mn |
| Jun 30, 2024 | 412.20 Mn |
| Mar 31, 2024 | 412.10 Mn |
| Dec 31, 2023 | 412.50 Mn |
| Sep 30, 2023 | 413.60 Mn |
| Jun 30, 2023 | 415.70 Mn |
| Mar 31, 2023 | 415.50 Mn |
| Dec 31, 2022 | 416.20 Mn |
| Sep 30, 2022 | 416.90 Mn |
| Jun 30, 2022 | 421.10 Mn |
| Mar 31, 2022 | 420.20 Mn |
| Dec 31, 2021 | 422.00 Mn |
| Sep 30, 2021 | 423.80 Mn |
API Access
Automatic Data Processing Shares Outstanding (Diluted) 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-diluted&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();