Wipro (WIT) Current Taxes (2009 - 2026)
Wipro (WIT) posted Current Taxes of $597 million for the quarter ended Jun 30, 2026, up 13.3% from $527.13 million a year earlier and up 10.0% from the prior quarter.
Wipro (WIT) Current Taxes (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro's Current Taxes came in at $529 million, up 30.9% from the prior year.
- Annual Current Taxes has increased for four consecutive years, with a five-year compound annual growth rate of 17.4% (years ended Mar 2021 to Mar 2026).
- In prior years, Wipro's Current Taxes was $404 million in the year ended Mar 31, 2025 (+54.8%), $261 million in the year ended Mar 31, 2024 (+14.0%), $229 million in the year ended Mar 31, 2023 (+31.6%) and $174 million in the year ended Mar 31, 2022 (-26.6%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Current Taxes in data going back to the quarter ended Mar 31, 2009.
- On a year-over-year basis, Current Taxes has increased in each of the last six quarters, with growth averaging 42.3% over the last seven quarters.
- The strongest year-over-year quarter for Current Taxes in the past five years was the quarter ended Jun 30, 2025, with growth of 63.2%; the weakest was the quarter ended Mar 31, 2022, with a decline of 25.9%.
- According to Business Quant data, Current Taxes for the three prior quarters was $542.81 million (quarter ended Mar 31, 2026), $511 million (quarter ended Dec 31, 2025) and $540 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 732.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 6.35 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 31.54 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 19.09 Mn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 597.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 597.00 Mn |
| Mar 31, 2026 | 542.81 Mn |
| Dec 31, 2025 | 511.00 Mn |
| Sep 30, 2025 | 540.00 Mn |
| Jun 30, 2025 | 527.13 Mn |
| Mar 31, 2025 | 398.19 Mn |
| Dec 31, 2024 | 358.88 Mn |
| Sep 30, 2024 | 365.00 Mn |
| Jun 30, 2024 | 323.00 Mn |
| Mar 31, 2024 | 261.98 Mn |
| Sep 30, 2023 | 258.54 Mn |
| Jun 30, 2023 | 254.36 Mn |
| Mar 31, 2023 | 229.26 Mn |
| Dec 31, 2022 | 238.48 Mn |
| Sep 30, 2022 | 276.37 Mn |
| Jun 30, 2022 | 273.70 Mn |
| Mar 31, 2022 | 175.96 Mn |
| Dec 31, 2021 | 253.48 Mn |
| Sep 30, 2021 | 261.62 Mn |
| Jun 30, 2021 | 245.31 Mn |
Wipro 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=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "ticker": "WIT", "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=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();