Infosys (INFY) Accumulated Expenses (2009 - 2026)
Infosys' Accumulated Expenses was $1.02 billion in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 3.0% from $991 million a year earlier.
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Analysis
Infosys (INFY) Accumulated Expenses (2009 - 2026) Analysis & Trends
From fiscal Q4 2009 onward, Infosys has reported Accumulated Expenses for 18 quarters.
- Accumulated Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 10.8% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $991 million in FY2025 (+0.5%), $986 million in FY2024 (+3.9%), $949 million in FY2023 (-3.8%) and $986 million in FY2022 (+61.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.02 Bn |
| Mar 31, 2025 | 991.00 Mn |
| Mar 31, 2024 | 986.00 Mn |
| Mar 31, 2023 | 949.00 Mn |
| Mar 31, 2022 | 986.00 Mn |
| Mar 31, 2021 | 612.00 Mn |
| Mar 31, 2020 | 518.00 Mn |
| Mar 31, 2019 | 480.00 Mn |
| Mar 31, 2018 | 376.00 Mn |
| Mar 31, 2017 | 399.00 Mn |
| Dec 31, 2014 | 306.00 Mn |
| Sep 30, 2014 | 280.00 Mn |
| Jun 30, 2014 | 288.00 Mn |
| Mar 31, 2014 | 308.00 Mn |
| Sep 30, 2009 | 7.00 Mn |
| Jun 30, 2009 | 1.00 Mn |
| Mar 31, 2009 | 1.00 Mn |
API Access
Infosys Accumulated Expenses 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=accumulated-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();