Infosys (INFY) Tax Provisions (2009 - 2026)
Infosys' Tax Provisions was $337 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 3.7% from $325 million a year earlier but down 1.7% from the prior quarter.
Infosys (INFY) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Infosys' Tax Provisions was $56.03 billion through Sep 30, 2026; for FY2026 (ended Mar 31, 2026), it was $1.19 billion, down 7.4% from FY2025.
- Tax Provisions shows a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- In earlier fiscal years, Tax Provisions was $1.29 billion in FY2025 (+9.2%), $1.18 billion in FY2024 (+3.1%), $1.14 billion in FY2023 (+6.9%) and $1.07 billion in FY2022 (+9.8%).
- Quarterly Tax Provisions has moved between $245 million (fiscal Q4 2022) and $28.71 billion (fiscal Q3 2026) over five years.
- Compared with a year earlier, Tax Provisions was higher in five of the last six quarters, with growth averaging 5.6%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q3 2025 (growth of 12.0%); the worst was fiscal Q4 2024 (a decline of 98.8%).
- Per Business Quant data, INFY's Tax Provisions in the three fiscal quarters before Q2 2027 was $343 million (Q1 2027), $26.64 billion (Q4 2026) and $28.71 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 337.00 Mn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 237.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | -105.00 Mn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 114.10 Mn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 121.97 Mn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 139.01 Mn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 80.31 Mn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 46.03 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 33.58 Mn |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn | 17.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 337.00 Mn |
| Jun 30, 2026 | 343.00 Mn |
| Mar 31, 2026 | 248.00 Mn |
| Dec 31, 2025 | 287.00 Mn |
| Sep 30, 2025 | 325.00 Mn |
| 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 |
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();