Infosys (INFY) Convertible Debt (2009 - 2026)
Infosys' Convertible Debt was $173 million in the quarter ended Jun 30, 2026, down 99.0% from $16.7 billion a year earlier but up 4.6% from the prior quarter.
Infosys (INFY) Convertible Debt (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Convertible Debt at Infosys came in at $159 million, down 8.1% from the prior year.
- Convertible Debt shows a five-year compound annual growth rate of 10.4% (years ended Mar 2021 to Mar 2026).
- In earlier years, Convertible Debt was $173 million in the year ended Mar 31, 2025 (-19.5%), $215 million in the year ended Mar 31, 2024 (+35.2%), $159 million in the year ended Mar 31, 2023 (+23.3%) and $129 million in the year ended Mar 31, 2022 (+33.0%).
- Quarterly Convertible Debt has moved between -$10.51 billion (the quarter ended Sep 30, 2024) and $16.7 billion (the quarter ended Jun 30, 2025) over five years.
- Compared with a year earlier, Convertible Debt was higher in 1 of the last five quarters, with an average decline of 26.4%.
- The best year-over-year quarter for Convertible Debt over five years was the quarter ended Jun 30, 2023 (growth of 42.7%); the worst was the quarter ended Jun 30, 2026 (a decline of 99.0%).
- Per Business Quant data, INFY's Convertible Debt in the three quarters before the quarter ended Jun 30, 2026 was $165.4 million (quarter ended Mar 31, 2026), $195 million (quarter ended Dec 31, 2025) and $184 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.00 Mn |
| Mar 31, 2026 | 165.40 Mn |
| Dec 31, 2025 | 195.00 Mn |
| Sep 30, 2025 | 184.00 Mn |
| Jun 30, 2025 | 16.70 Bn |
| Mar 31, 2025 | 170.33 Mn |
| Dec 31, 2024 | 174.00 Mn |
| Sep 30, 2024 | -10.51 Bn |
| Jun 30, 2024 | 181.00 Mn |
| Mar 31, 2024 | 216.27 Mn |
| Dec 31, 2023 | 220.00 Mn |
| Sep 30, 2023 | -1.04 Bn |
| Jun 30, 2023 | 187.00 Mn |
| Mar 31, 2023 | 158.99 Mn |
| Dec 31, 2022 | 171.00 Mn |
| Sep 30, 2022 | -2.49 Bn |
| Jun 30, 2022 | 131.00 Mn |
| Mar 31, 2022 | 129.67 Mn |
| Dec 31, 2021 | 134.00 Mn |
| Sep 30, 2021 | -1.54 Bn |
Infosys Convertible Debt 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=convertible-debt&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();