Wipro (WIT) Total Current Liabilities (2009 - 2026)
Wipro (WIT) reported Total Current Liabilities of $4.47 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 16.4% from $3.84 billion a year earlier and up 3.5% from the prior quarter.
Wipro (WIT) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Wipro posted Total Current Liabilities of $4.3 billion, up 28.2% from FY2025.
- Total Current Liabilities has a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $3.35 billion in FY2025 (+10.6%), $3.03 billion in FY2024 (-7.0%), $3.26 billion in FY2023 (-19.8%) and $4.06 billion in FY2022 (+29.2%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Total Current Liabilities since fiscal Q1 2024.
- Year over year, Total Current Liabilities has now increased in each of the last seven quarters, with growth averaging 19.7% over the last seven quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q3 2026 (growth of 31.6%); the low point was fiscal Q1 2025 (a decline of 37.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $4.32 billion (Q1 2027), $4.27 billion (Q4 2026) and $4.31 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 3.64 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 4.47 Bn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 8.98 Bn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 3.77 Bn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 27.61 Bn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 28.74 Bn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 844.04 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 7.50 Bn |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn | 444.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.47 Bn |
| Jun 30, 2026 | 4.32 Bn |
| Mar 31, 2026 | 4.27 Bn |
| Dec 31, 2025 | 4.31 Bn |
| Sep 30, 2025 | 3.84 Bn |
| Jun 30, 2025 | 3.88 Bn |
| Mar 31, 2025 | 3.35 Bn |
| Dec 31, 2024 | 3.27 Bn |
| Sep 30, 2024 | 3.36 Bn |
| Jun 30, 2024 | 3.08 Bn |
| Mar 31, 2024 | 3.03 Bn |
| Sep 30, 2023 | 3.07 Bn |
| Jun 30, 2023 | 4.91 Bn |
| Mar 31, 2023 | 3.26 Bn |
| Dec 31, 2022 | 3.44 Bn |
| Sep 30, 2022 | 3.76 Bn |
| Jun 30, 2022 | 3.81 Bn |
| Mar 31, 2022 | 4.07 Bn |
| Dec 31, 2021 | 3.37 Bn |
| Sep 30, 2021 | 3.11 Bn |
Wipro Total 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-current-liabilities&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();