Accenture (ACN) Income Taxes Paid (2016 - 2026)
Accenture's Income Taxes Paid came in at $634.57 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 6.4% from $677.69 million a year earlier and down 7.9% from the prior quarter.
Accenture (ACN) Income Taxes Paid (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Accenture's Income Taxes Paid was $2.64 billion, up 6.7% from FY2025.
- Income Taxes Paid has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- Going back by fiscal year, Income Taxes Paid was $2.47 billion in FY2025 (+3.6%), $2.39 billion in FY2024 (+3.1%), $2.32 billion in FY2023 (+30.2%) and $1.78 billion in FY2022 (+13.5%).
- The five-year range for quarterly Income Taxes Paid is $387.16 million (fiscal Q1 2022) to $923.65 million (fiscal Q2 2024).
- Year-over-year, Income Taxes Paid increased in four of the last eight quarters, with growth averaging 9.5%.
- The fastest year-over-year change in Income Taxes Paid over five years came in fiscal Q2 2023 (growth of 54.9%), and the weakest in fiscal Q4 2024 (a decline of 17.8%).
- Business Quant data shows ACN's Income Taxes Paid at $689.36 million (Q3 2026), $750.98 million (Q2 2026) and $563.2 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.81 Bn | 115.74 Bn | 5.98 Bn | 634.57 Mn |
| 2 | Cintas | 89.04 Bn | 88.13 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 33.75 Bn | 32.95 Bn | 1.06 Bn | 32.73 Mn |
| 4 | APi | 18.36 Bn | 15.58 Bn | 770.00 Mn | 24.00 Mn |
| 5 | Rollins | 18.31 Bn | 17.85 Bn | 582.90 Mn | -28.30 Mn |
| 6 | UL Solutions | 16.52 Bn | 14.52 Bn | 423.00 Mn | 28.00 Mn |
| 7 | Aramark | 14.38 Bn | 12.32 Bn | 430.34 Mn | 23.67 Mn |
| 8 | Gartner | 12.13 Bn | 5.62 Bn | 1.07 Bn | - |
| 9 | Rentokil Initial | 12.03 Bn | 5.55 Bn | - | - |
| 10 | Tetra Tech | 10.62 Bn | 9.73 Bn | 243.21 Mn | 19.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 634.57 Mn |
| May 31, 2026 | 689.36 Mn |
| Feb 28, 2026 | 750.98 Mn |
| Nov 30, 2025 | 563.20 Mn |
| Aug 31, 2025 | 677.69 Mn |
| May 31, 2025 | 485.52 Mn |
| Feb 28, 2025 | 779.18 Mn |
| Nov 30, 2024 | 529.16 Mn |
| Aug 31, 2024 | 445.42 Mn |
| May 31, 2024 | 454.20 Mn |
| Feb 29, 2024 | 923.65 Mn |
| Nov 30, 2023 | 563.36 Mn |
| Aug 31, 2023 | 541.58 Mn |
| May 31, 2023 | 455.82 Mn |
| Feb 28, 2023 | 754.99 Mn |
| Nov 30, 2022 | 563.53 Mn |
| Aug 31, 2022 | 514.29 Mn |
| May 31, 2022 | 390.22 Mn |
| Feb 28, 2022 | 487.25 Mn |
| Nov 30, 2021 | 387.16 Mn |
Accenture Income Taxes Paid 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=income-taxes-paid&ticker=ACN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "ticker": "ACN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-taxes-paid&ticker=ACN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();