Wipro (WIT) Total Liabilities (2009 - 2026)
Wipro's Total Liabilities came in at $5.88 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 16.6% from $5.05 billion a year earlier and up 3.1% from the prior quarter.
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Analysis
Wipro (WIT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Wipro's Total Liabilities was $5.66 billion, up 6.1% from FY2025.
- Total Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 8.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $5.34 billion in FY2025 (+10.8%), $4.82 billion in FY2024 (+0.5%), $4.79 billion in FY2023 (-13.6%) and $5.55 billion in FY2022 (+47.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Total Liabilities since fiscal Q1 2024.
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 7.8% over the last seven quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2022 (growth of 47.1%), and the weakest in fiscal Q1 2025 (a decline of 24.1%).
- Business Quant data shows WIT's Total Liabilities at $5.71 billion (Q1 2027), $5.63 billion (Q4 2026) and $5.71 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 6.67 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 6.60 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 5.88 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 16.95 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 32.54 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 31.30 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 1.09 Bn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 1.15 Bn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 10.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.88 Bn |
| Jun 30, 2026 | 5.71 Bn |
| Mar 31, 2026 | 5.63 Bn |
| Dec 31, 2025 | 5.71 Bn |
| Sep 30, 2025 | 5.05 Bn |
| Jun 30, 2025 | 5.11 Bn |
| Mar 31, 2025 | 5.33 Bn |
| Dec 31, 2024 | 5.20 Bn |
| Sep 30, 2024 | 5.25 Bn |
| Jun 30, 2024 | 4.91 Bn |
| Mar 31, 2024 | 4.81 Bn |
| Sep 30, 2023 | 4.65 Bn |
| Jun 30, 2023 | 6.47 Bn |
| Mar 31, 2023 | 4.80 Bn |
| Dec 31, 2022 | 4.95 Bn |
| Sep 30, 2022 | 5.20 Bn |
| Jun 30, 2022 | 5.27 Bn |
| Mar 31, 2022 | 5.55 Bn |
| Dec 31, 2021 | 4.88 Bn |
| Sep 30, 2021 | 4.57 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();