Infosys (INFY) Total Liabilities (2009 - 2026)
Infosys' Total Liabilities came in at $639.37 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with $22.85 billion a year earlier.
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Analysis
Infosys (INFY) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Infosys' Total Liabilities was $6.61 billion, up 7.2% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $6.16 billion in FY2025 (+4.2%), $5.92 billion in FY2024 (-2.8%), $6.09 billion in FY2023 (+9.5%) and $5.56 billion in FY2022 (+28.6%).
- The fiscal Q2 2027 figure represents the highest quarterly Total Liabilities since fiscal Q1 2024.
- Year-over-year, Total Liabilities increased in five of the last seven quarters, with growth averaging 3.2%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2022 (growth of 28.6%), and the weakest in fiscal Q2 2024 (a decline of 100.0%).
- Business Quant data shows INFY's Total Liabilities at $21.56 billion (Q1 2027), $6.61 billion (Q4 2026) and $20.81 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 | 50.81 Bn | -78.45 Bn | 1.60 Bn | 6.67 Bn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 6.60 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 5.88 Bn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 16.95 Bn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | - |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 32.54 Bn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 31.30 Bn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 1.09 Bn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 10.40 Bn |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn | 1.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.67 Bn |
| Jun 30, 2026 | 21.56 Bn |
| Mar 31, 2026 | 6.61 Bn |
| Dec 31, 2025 | 438.12 Bn |
| Sep 30, 2025 | 409.59 Bn |
| Jun 30, 2025 | 21.94 Bn |
| Mar 31, 2025 | 6.16 Bn |
| Dec 31, 2024 | 20.94 Bn |
| Sep 30, 2024 | 21.29 Bn |
| Jun 30, 2024 | 21.67 Bn |
| Mar 31, 2024 | 5.92 Bn |
| Dec 31, 2023 | 19.96 Bn |
| Sep 30, 2023 | 20.09 Bn |
| Jun 30, 2023 | 4,278,016.01 Bn |
| Mar 31, 2023 | 6.09 Bn |
| Dec 31, 2022 | 19.62 Bn |
| Sep 30, 2022 | 4,320,015.64 Bn |
| Jun 30, 2022 | 4,045,015.19 Bn |
| Mar 31, 2022 | 5.56 Bn |
| Dec 31, 2021 | 14.03 Bn |
API Access
Infosys 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=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();