Infosys (INFY) Total Non-Current Liabilities (2009 - 2026)
Infosys' Total Non-Current Liabilities was $103.56 billion in fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with $1.15 billion a year earlier.
Infosys (INFY) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Non-Current Liabilities at Infosys came in at $6.34 billion, up 7.4% from FY2025.
- Total Non-Current Liabilities has now increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -39.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $5.9 billion in FY2025 (+4.5%), $5.65 billion in FY2024 (+328.0%), $1.32 billion in FY2023 (-74.7%) and $5.21 billion in FY2022 (-93.3%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Non-Current Liabilities since fiscal Q3 2020.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last seven quarters, with an average decline of 1.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2024 (growth of 328.0%); the worst was fiscal Q2 2023 (a decline of 98.5%).
- Per Business Quant data, INFY's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $1.1 billion (Q1 2027), $6.34 billion (Q4 2026) and $1.11 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | 6.34 Bn |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 5.81 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 7.97 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 32.02 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 30.80 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 1.03 Bn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 10.19 Bn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 1.03 Bn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 3.88 Bn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn | 18.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -649.00 Mn |
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 6.34 Bn |
| Dec 31, 2025 | 59.12 Bn |
| Sep 30, 2025 | 60.25 Bn |
| Jun 30, 2025 | 1.17 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.27 Bn |
| Dec 31, 2023 | 1.26 Bn |
| Sep 30, 2023 | 1.24 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 1.32 Bn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.16 Bn |
| Mar 31, 2022 | 5.21 Bn |
| Dec 31, 2021 | 1.09 Bn |
Infosys 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=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();