Infosys (INFY) Cost of Revenue (2009 - 2026)
Infosys' Cost of Revenue came in at $3.55 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 0.9% from $3.52 billion a year earlier and up 1.9% from the prior quarter.
Infosys (INFY) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Infosys reported Cost of Revenue of $337.03 billion; for FY2026 (ended Mar 31, 2026), it came in at $14.08 billion, up 5.0% from FY2025.
- Cost of Revenue has increased in each of the last ten fiscal years, with a five-year compound annual growth rate of 9.8% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $13.41 billion in FY2025 (+3.3%), $12.98 billion in FY2024 (+2.1%), $12.71 billion in FY2023 (+15.6%) and $11 billion in FY2022 (+24.6%).
- The five-year range for quarterly Cost of Revenue is $2.86 billion (fiscal Q3 2022) to $326.52 billion (fiscal Q3 2026).
- Year-over-year, Cost of Revenue has increased for three consecutive quarters, with growth averaging 3.5% over the last seven quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q4 2022 (growth of 25.4%), and the weakest in fiscal Q3 2022 (a decline of 98.3%).
- Business Quant data shows INFY's Cost of Revenue at $3.48 billion (Q1 2027), $3.49 billion (Q4 2026) and $326.52 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.14 Bn | -78.12 Bn | 1.60 Bn | 3.55 Bn |
| 2 | Cognizant Technology Solutions | 29.95 Bn | 23.91 Bn | 1.91 Bn | 3.75 Bn |
| 3 | Wipro | 22.52 Bn | 17.67 Bn | 745.00 Mn | 1.84 Bn |
| 4 | Cdw | 20.58 Bn | 17.49 Bn | 1.39 Bn | 5.37 Bn |
| 5 | Cgi | 18.50 Bn | 16.29 Bn | - | - |
| 6 | Td Synnex | 18.23 Bn | 12.39 Bn | 1.43 Bn | 20.13 Bn |
| 7 | Arrow Electronics | 9.84 Bn | 8.78 Bn | 1.13 Bn | 8.87 Bn |
| 8 | EPAM Systems | 8.15 Bn | 4.06 Bn | 445.94 Mn | 980.49 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 7.43 Bn |
| 10 | ExlService Holdings | 6.63 Bn | 5.43 Bn | 241.14 Mn | 392.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.55 Bn |
| Jun 30, 2026 | 3.48 Bn |
| Mar 31, 2026 | 3.49 Bn |
| Dec 31, 2025 | 3.66 Bn |
| Sep 30, 2025 | 3.52 Bn |
| Jun 30, 2025 | 3.42 Bn |
| Mar 31, 2025 | 3.30 Bn |
| Dec 31, 2024 | 3.44 Bn |
| Sep 30, 2024 | 3.40 Bn |
| Jun 30, 2024 | 3.26 Bn |
| Mar 31, 2024 | 3.22 Bn |
| Dec 31, 2023 | 3.27 Bn |
| Sep 30, 2023 | 3.27 Bn |
| Jun 30, 2023 | 3.21 Bn |
| Mar 31, 2023 | 3.16 Bn |
| Dec 31, 2022 | 3.23 Bn |
| Sep 30, 2022 | 3.17 Bn |
| Jun 30, 2022 | 3.14 Bn |
| Mar 31, 2022 | 2.96 Bn |
| Dec 31, 2021 | 2.86 Bn |
Infosys Cost of Revenue 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=cost-of-revenue&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();