Wipro (WIT) Total Liabilities (2009 - 2026)
Wipro's Total Liabilities came in at $5.71 billion for the quarter ended Jun 30, 2026, up 11.8% from $5.11 billion a year earlier but down 1.8% from the prior quarter.
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Analysis
Wipro (WIT) Total Liabilities (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro's Total Liabilities was $5.66 billion, up 6.1% from the prior year.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 8.4% (years ended Mar 2021 to Mar 2026).
- Going back by year, Total Liabilities was $5.34 billion in the year ended Mar 31, 2025 (+10.8%), $4.82 billion in the year ended Mar 31, 2024 (+0.5%), $4.79 billion in the year ended Mar 31, 2023 (-13.5%) and $5.54 billion in the year ended Mar 31, 2022 (+46.5%).
- The five-year range for quarterly Total Liabilities is $4.58 billion (the quarter ended Sep 30, 2021) to $6.46 billion (the quarter ended Jun 30, 2023).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 7.7% over the last seven quarters.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Mar 31, 2022 (growth of 47.3%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 24.0%).
- Business Quant data shows WIT's Total Liabilities at $5.81 billion (quarter ended Mar 31, 2026), $5.76 billion (quarter ended Dec 31, 2025) and $5.14 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 5.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.71 Bn |
| Mar 31, 2026 | 5.81 Bn |
| Dec 31, 2025 | 5.76 Bn |
| Sep 30, 2025 | 5.14 Bn |
| Jun 30, 2025 | 5.11 Bn |
| Mar 31, 2025 | 5.27 Bn |
| Dec 31, 2024 | 5.28 Bn |
| Sep 30, 2024 | 5.25 Bn |
| Jun 30, 2024 | 4.91 Bn |
| Mar 31, 2024 | 4.83 Bn |
| Sep 30, 2023 | 4.68 Bn |
| Jun 30, 2023 | 6.46 Bn |
| Mar 31, 2023 | 4.79 Bn |
| Dec 31, 2022 | 4.99 Bn |
| Sep 30, 2022 | 5.32 Bn |
| Jun 30, 2022 | 5.39 Bn |
| Mar 31, 2022 | 5.59 Bn |
| Dec 31, 2021 | 4.84 Bn |
| Sep 30, 2021 | 4.58 Bn |
| Jun 30, 2021 | 4.62 Bn |
API Access
Wipro Total Liabilities 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-liabilities&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();