Infosys (INFY) Operating Leases (2018 - 2026)
Infosys (INFY) reported Operating Leases of $360 million for the quarter ended Jun 30, 2026, up 21.6% from $296 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Infosys (INFY) Operating Leases (2018 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys posted Operating Leases of $333 million, up 16.0% from the prior year.
- Operating Leases has increased for eight consecutive years, with a five-year compound annual growth rate of 26.9% (years ended Mar 2021 to Mar 2026).
- By year, Operating Leases came in at $287 million in the year ended Mar 31, 2025 (+22.1%), $235 million in the year ended Mar 31, 2024 (+55.6%), $151 million in the year ended Mar 31, 2023 (+31.3%) and $115 million in the year ended Mar 31, 2022 (+13.9%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Operating Leases since the quarter ended Mar 31, 2025.
- Year over year, Operating Leases gained in six of the last eight quarters, with growth averaging 4.7%.
- The high point for year-over-year Operating Leases in five years was the quarter ended Mar 31, 2024 (growth of 410.1%); the low point was the quarter ended Mar 31, 2023 (a decline of 75.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $345.68 million (quarter ended Mar 31, 2026), $332 million (quarter ended Dec 31, 2025) and $312 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 360.00 Mn |
| Mar 31, 2026 | 345.68 Mn |
| Dec 31, 2025 | 332.00 Mn |
| Sep 30, 2025 | 312.00 Mn |
| Jun 30, 2025 | 296.00 Mn |
| Mar 31, 2025 | 666.55 Mn |
| Dec 31, 2024 | 293.00 Mn |
| Sep 30, 2024 | 295.00 Mn |
| Jun 30, 2024 | 262.00 Mn |
| Mar 31, 2024 | 770.66 Mn |
| Dec 31, 2023 | 249.00 Mn |
| Sep 30, 2023 | 231.00 Mn |
| Jun 30, 2023 | 222.00 Mn |
| Mar 31, 2023 | 151.09 Mn |
| Dec 31, 2022 | 138.00 Mn |
| Sep 30, 2022 | 117.00 Mn |
| Jun 30, 2022 | 112.00 Mn |
| Mar 31, 2022 | 612.02 Mn |
| Dec 31, 2021 | 112.00 Mn |
| Sep 30, 2021 | 106.00 Mn |
API Access
Infosys Operating Leases 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=operating-leases&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();