Automatic Data Processing (ADP) Tax Provisions (2009 - 2026)
Automatic Data Processing's Tax Provisions was $279.2 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.3% from $280 million a year earlier and down 33.8% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Tax Provisions at Automatic Data Processing came in at $1.32 billion, up 7.0% from FY2025.
- Tax Provisions has now increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- In earlier fiscal years, Tax Provisions was $1.23 billion in FY2025 (+9.8%), $1.12 billion in FY2024 (+9.2%), $1.03 billion in FY2023 (+19.9%) and $855.2 million in FY2022 (+12.1%).
- The fiscal Q4 2026 figure marks the lowest quarterly Tax Provisions since fiscal Q4 2024.
- Compared with a year earlier, Tax Provisions was higher in seven of the last eight quarters, with growth averaging 8.6%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q4 2023 (growth of 28.7%); the worst was fiscal Q4 2026 (a decline of 0.3%).
- Per Business Quant data, ADP's Tax Provisions in the three fiscal quarters before Q4 2026 was $422 million (Q3 2026), $321.2 million (Q2 2026) and $294.5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 15.38 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 847.00 Mn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -926.40 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 1.03 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 140.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 279.20 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 1.56 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 71.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 279.20 Mn |
| Mar 31, 2026 | 422.00 Mn |
| Dec 31, 2025 | 321.20 Mn |
| Sep 30, 2025 | 294.50 Mn |
| Jun 30, 2025 | 280.00 Mn |
| Mar 31, 2025 | 372.40 Mn |
| Dec 31, 2024 | 298.10 Mn |
| Sep 30, 2024 | 279.90 Mn |
| Jun 30, 2024 | 260.00 Mn |
| Mar 31, 2024 | 361.40 Mn |
| Dec 31, 2023 | 265.40 Mn |
| Sep 30, 2023 | 233.40 Mn |
| Jun 30, 2023 | 228.90 Mn |
| Mar 31, 2023 | 320.90 Mn |
| Dec 31, 2022 | 245.00 Mn |
| Sep 30, 2022 | 231.00 Mn |
| Jun 30, 2022 | 177.90 Mn |
| Mar 31, 2022 | 261.40 Mn |
| Dec 31, 2021 | 215.70 Mn |
| Sep 30, 2021 | 200.30 Mn |
API Access
Automatic Data Processing Tax Provisions 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=tax-provisions&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();