Infosys (INFY) Rent Expense (2009 - 2014)
Infosys' Rent Expense was $11.67 billion in the year ended Mar 31, 2026, up 3.9% from $11.24 billion a year earlier.
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Analysis
Infosys (INFY) Rent Expense (2009 - 2014) Analysis & Trends
From the year ended Mar 31, 2009 onward, Infosys has reported Rent Expense for 4 years.
- Per Business Quant data, Rent Expense in earlier years was $11.24 billion in the year ended Mar 31, 2025 (+3.5%) and $10.86 billion in the year ended Mar 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (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, 2014 | 1.06 Bn |
| Dec 31, 2013 | 990.00 Mn |
| Sep 30, 2013 | 999.00 Mn |
| Jun 30, 2013 | 954.00 Mn |
| Dec 31, 2012 | 846.00 Mn |
| Sep 30, 2012 | 812.00 Mn |
| Jun 30, 2012 | 776.00 Mn |
| Dec 31, 2011 | 738.00 Mn |
| Sep 30, 2011 | 742.00 Mn |
| Jun 30, 2011 | 744.00 Mn |
| Dec 31, 2010 | 656.00 Mn |
| Sep 30, 2010 | 629.00 Mn |
| Jun 30, 2010 | 590.00 Mn |
| Dec 31, 2009 | 492.00 Mn |
| Sep 30, 2009 | 467.00 Mn |
| Mar 31, 2009 | 449.00 Mn |
API Access
Infosys Rent Expense 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=rent-expense&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();