Infosys (INFY) Total Liabilities (2009 - 2026)
Infosys' Total Liabilities came in at $6.69 billion for the quarter ended Jun 30, 2026, up 5.5% from $6.34 billion a year earlier but down 2.5% from the prior quarter.
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Analysis
Infosys (INFY) Total Liabilities (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys' Total Liabilities was $6.86 billion, up 12.6% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 9.6% (years ended Mar 2021 to Mar 2026).
- Going back by year, Total Liabilities was $6.09 billion in the year ended Mar 31, 2025 (+2.4%), $5.94 billion in the year ended Mar 31, 2024 (-2.3%), $6.08 billion in the year ended Mar 31, 2023 (+8.6%) and $5.61 billion in the year ended Mar 31, 2022 (+29.3%).
- The five-year range for quarterly Total Liabilities is $4.82 billion (the quarter ended Sep 30, 2021) to $7.26 billion (the quarter ended Jun 30, 2024).
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Dec 31, 2021 (growth of 33.3%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 12.7%).
- Business Quant data shows INFY's Total Liabilities at $6.86 billion (quarter ended Mar 31, 2026), $6.73 billion (quarter ended Dec 31, 2025) and $6.49 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 21.56 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 5.71 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 32.54 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 31.30 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 10.40 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn | 17.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.56 Bn |
| Mar 31, 2026 | 6.61 Bn |
| Dec 31, 2025 | 20.81 Bn |
| Sep 30, 2025 | 22.85 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 | 18.10 Bn |
| Sep 30, 2021 | 17.68 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();