Wipro (WIT) Total Debt (2009 - 2026)
Wipro (WIT) posted Total Debt of $45.47 million for the quarter ended Jun 30, 2026, down 41.3% from $77.42 million a year earlier and down 68.8% from the prior quarter.
Wipro (WIT) Total Debt (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro's Total Debt came in at $141 million, down 82.2% from the prior year.
- Annual Total Debt shows a five-year compound annual growth rate of 2.9% (years ended Mar 2021 to Mar 2026).
- In prior years, Wipro's Total Debt was $794 million in the year ended Mar 31, 2025 (+2.5%), $775 million in the year ended Mar 31, 2024 (-2.5%), $795 million in the year ended Mar 31, 2023 (-33.4%) and $1.19 billion in the year ended Mar 31, 2022 (+878.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Total Debt since the quarter ended Jun 30, 2020.
- On a year-over-year basis, Total Debt has declined in each of the last five quarters, with an average decline of 57.1% over the last seven quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was the quarter ended Mar 31, 2024, with growth of 208.3%; the weakest was the quarter ended Mar 31, 2026, with a decline of 94.4%.
- According to Business Quant data, Total Debt for the three prior quarters was $145.7 million (quarter ended Mar 31, 2026), $84.72 million (quarter ended Dec 31, 2025) and $69.75 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 2.24 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.56 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 4.72 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 5.82 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 2.66 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 2.17 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 3.23 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 3.80 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 25.00 Mn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 45.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.47 Mn |
| Mar 31, 2026 | 145.70 Mn |
| Dec 31, 2025 | 84.72 Mn |
| Sep 30, 2025 | 69.75 Mn |
| Jun 30, 2025 | 77.42 Mn |
| Mar 31, 2025 | 2.61 Bn |
| Dec 31, 2024 | 795.23 Mn |
| Sep 30, 2024 | 784.00 Mn |
| Jun 30, 2024 | 782.00 Mn |
| Mar 31, 2024 | 2.45 Bn |
| Sep 30, 2023 | 782.47 Mn |
| Jun 30, 2023 | 2.25 Bn |
| Mar 31, 2023 | 795.74 Mn |
| Dec 31, 2022 | 804.59 Mn |
| Sep 30, 2022 | 833.83 Mn |
| Jun 30, 2022 | 842.21 Mn |
| Mar 31, 2022 | 2.77 Bn |
| Dec 31, 2021 | 791.76 Mn |
| Sep 30, 2021 | 802.01 Mn |
| Jun 30, 2021 | 806.70 Mn |
Wipro Total Debt 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=total-debt&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();