Automatic Data Processing (ADP) Current Taxes (2009 - 2026)
Automatic Data Processing's Current Taxes came in at $110.3 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $9.1 million a year earlier and down 70.4% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Current Taxes (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Automatic Data Processing's Current Taxes data covers 69 quarters.
- Current Taxes carries a five-year compound annual growth rate of 13.6% (FY2021 to FY2026).
- Going back by fiscal year, Current Taxes was $9.1 million in FY2025 (-39.7%), $15.1 million in FY2024 (-65.8%), $44.2 million in FY2023 (+15.1%) and $38.4 million in FY2022 (-34.0%).
- The five-year range for quarterly Current Taxes is $1.1 million (fiscal Q2 2024) to $372.2 million (fiscal Q3 2026).
- Year-over-year, Current Taxes increased in two of the last six quarters, with growth averaging 110.6%.
- The fastest year-over-year change in Current Taxes over five years came in fiscal Q3 2026 (growth of 482.5%), and the weakest in fiscal Q2 2024 (a decline of 90.1%).
- Business Quant data shows ADP's Current Taxes at $372.2 million (Q3 2026), $197.3 million (Q2 2026) and $116.5 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | - |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 1.55 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 110.30 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | - |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | 173.63 Mn |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | - |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 240.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.30 Mn |
| Mar 31, 2026 | 372.20 Mn |
| Dec 31, 2025 | 197.30 Mn |
| Sep 30, 2025 | 116.50 Mn |
| Jun 30, 2025 | 9.10 Mn |
| Mar 31, 2025 | 63.90 Mn |
| Dec 31, 2024 | 4.40 Mn |
| Sep 30, 2024 | 170.40 Mn |
| Jun 30, 2024 | 15.10 Mn |
| Mar 31, 2024 | 110.40 Mn |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 179.80 Mn |
| Jun 30, 2023 | 44.20 Mn |
| Mar 31, 2023 | 62.40 Mn |
| Dec 31, 2022 | 11.10 Mn |
| Sep 30, 2022 | 176.80 Mn |
| Jun 30, 2022 | 38.40 Mn |
| Mar 31, 2022 | 141.50 Mn |
| Dec 31, 2021 | 63.80 Mn |
| Sep 30, 2021 | 179.30 Mn |
API Access
Automatic Data Processing Current Taxes 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=current-taxes&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();