Wipro (WIT) Total Non-Current Liabilities (2009 - 2026)
Wipro's Total Non-Current Liabilities was $1.42 billion in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 17.3% from $1.21 billion a year earlier and up 1.7% from the prior quarter.
Wipro (WIT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Non-Current Liabilities at Wipro came in at $1.37 billion, down 31.2% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 16.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $1.99 billion in FY2025 (+11.2%), $1.79 billion in FY2024 (+16.3%), $1.54 billion in FY2023 (+3.9%) and $1.48 billion in FY2022 (+131.5%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Non-Current Liabilities since fiscal Q4 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last seven quarters, with an average decline of 12.4%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2022 (growth of 178.6%); the worst was fiscal Q2 2026 (a decline of 36.4%).
- Per Business Quant data, WIT's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $1.39 billion (Q1 2027), $1.36 billion (Q4 2026) and $1.4 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.98 Bn | -78.28 Bn | 1.60 Bn | -649.00 Mn |
| 2 | Cognizant Technology Solutions | 29.67 Bn | 23.64 Bn | 1.91 Bn | 5.81 Bn |
| 3 | Wipro | 22.37 Bn | 17.51 Bn | 745.00 Mn | 1.42 Bn |
| 4 | Cdw | 20.37 Bn | 17.27 Bn | 1.39 Bn | 7.97 Bn |
| 5 | Cgi | 18.40 Bn | 16.20 Bn | - | 8.45 Mn |
| 6 | Td Synnex | 18.17 Bn | 12.32 Bn | 1.43 Bn | 32.02 Bn |
| 7 | Arrow Electronics | 9.79 Bn | 8.74 Bn | 1.13 Bn | 30.80 Bn |
| 8 | EPAM Systems | 8.06 Bn | 3.98 Bn | 445.94 Mn | 1.03 Bn |
| 9 | Avnet | 6.96 Bn | 6.14 Bn | 865.03 Mn | 10.19 Bn |
| 10 | ExlService Holdings | 6.53 Bn | 5.33 Bn | 241.14 Mn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.42 Bn |
| Jun 30, 2026 | 1.39 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.40 Bn |
| Sep 30, 2025 | 1.21 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.99 Bn |
| Dec 31, 2024 | 1.93 Bn |
| Sep 30, 2024 | 1.90 Bn |
| Jun 30, 2024 | 1.83 Bn |
| Mar 31, 2024 | 1.78 Bn |
| Sep 30, 2023 | 1.57 Bn |
| Jun 30, 2023 | 1.56 Bn |
| Mar 31, 2023 | 1.54 Bn |
| Dec 31, 2022 | 1.51 Bn |
| Sep 30, 2022 | 1.44 Bn |
| Jun 30, 2022 | 1.46 Bn |
| Mar 31, 2022 | 1.48 Bn |
| Dec 31, 2021 | 1.50 Bn |
| Sep 30, 2021 | 1.45 Bn |
Wipro Total Non-Current 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-non-current-liabilities&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();