Infosys (INFY) Tax Provisions (2009 - 2026)
Infosys' Tax Provisions was $343 million in the quarter ended Jun 30, 2026, up 4.3% from $329 million a year earlier and up 38.3% from the prior quarter.
Infosys (INFY) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Infosys' Tax Provisions was $1.2 billion through Jun 30, 2026, down 7.2% year-over-year; for the year ended Mar 31, 2026, it was $1.19 billion, down 7.4% from the prior year.
- Tax Provisions shows a five-year compound annual growth rate of 4.1% (years ended Mar 2021 to Mar 2026).
- In earlier years, Tax Provisions was $1.29 billion in the year ended Mar 31, 2025 (+9.2%), $1.18 billion in the year ended Mar 31, 2024 (+3.1%), $1.14 billion in the year ended Mar 31, 2023 (+6.9%) and $1.07 billion in the year ended Mar 31, 2022 (+9.8%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Tax Provisions since the quarter ended Dec 31, 2020.
- Compared with a year earlier, Tax Provisions was higher in five of the last eight quarters, with growth averaging 0.4%.
- The best year-over-year quarter for Tax Provisions over five years was the quarter ended Mar 31, 2023 (growth of 15.9%); the worst was the quarter ended Dec 31, 2021 (a decline of 98.5%).
- Per Business Quant data, INFY's Tax Provisions in the three quarters before the quarter ended Jun 30, 2026 was $248 million (quarter ended Mar 31, 2026), $287 million (quarter ended Dec 31, 2025) and $325 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 343.00 Mn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 231.00 Mn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | -103.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 139.01 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 99.00 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 121.97 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 80.31 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 33.58 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 37.57 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 46.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 343.00 Mn |
| Mar 31, 2026 | 26.64 Bn |
| Dec 31, 2025 | 28.71 Bn |
| Sep 30, 2025 | 31.78 Bn |
| Jun 30, 2025 | 329.00 Mn |
| Mar 31, 2025 | 303.00 Mn |
| Dec 31, 2024 | 337.00 Mn |
| Sep 30, 2024 | 327.00 Mn |
| Jun 30, 2024 | 318.00 Mn |
| Mar 31, 2024 | 273.00 Mn |
| Dec 31, 2023 | 301.00 Mn |
| Sep 30, 2023 | 309.00 Mn |
| Jun 30, 2023 | 294.00 Mn |
| Mar 31, 2023 | 23.32 Bn |
| Dec 31, 2022 | 285.00 Mn |
| Sep 30, 2022 | 295.00 Mn |
| Jun 30, 2022 | 279.00 Mn |
| Mar 31, 2022 | 245.00 Mn |
| Dec 31, 2021 | 283.00 Mn |
| Sep 30, 2021 | 272.00 Mn |
Infosys 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=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "INFY", "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=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();