Infosys (INFY) Total Current Liabilities (2009 - 2026)
Infosys' Total Current Liabilities came in at $535.81 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with $5.22 billion a year earlier.
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Analysis
Infosys (INFY) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Infosys' Total Current Liabilities was $5.52 billion, up 10.1% from FY2025.
- Total Current Liabilities carries a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $5.01 billion in FY2025 (+7.8%), $4.65 billion in FY2024 (-2.5%), $4.77 billion in FY2023 (+7.6%) and $4.43 billion in FY2022 (+35.8%).
- The fiscal Q2 2027 figure represents the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2009.
- Year-over-year, Total Current Liabilities increased in six of the last seven quarters, with growth averaging 5.2%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q3 2022 (growth of 36.7%), and the weakest in fiscal Q1 2026 (a decline of 15.3%).
- Business Quant data shows INFY's Total Current Liabilities at $5.59 billion (Q1 2027), $5.52 billion (Q4 2026) and $5.56 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.59 Bn |
| Mar 31, 2026 | 5.52 Bn |
| Dec 31, 2025 | 379.00 Bn |
| Sep 30, 2025 | 349.34 Bn |
| Jun 30, 2025 | 5.15 Bn |
| Mar 31, 2025 | 5.01 Bn |
| Dec 31, 2024 | 4.80 Bn |
| Sep 30, 2024 | 4.87 Bn |
| Jun 30, 2024 | 6.09 Bn |
| Mar 31, 2024 | 4.65 Bn |
| Dec 31, 2023 | 4.68 Bn |
| Sep 30, 2023 | 4.68 Bn |
| Jun 30, 2023 | 5.67 Bn |
| Mar 31, 2023 | 4.77 Bn |
| Dec 31, 2022 | 4.98 Bn |
| Sep 30, 2022 | 4.59 Bn |
| Jun 30, 2022 | 4.64 Bn |
| Mar 31, 2022 | 4.43 Bn |
| Dec 31, 2021 | 4.19 Bn |
| Sep 30, 2021 | 3.73 Bn |
API Access
Infosys 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=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "INFY", "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=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();