Infosys (INFY) Cost of Revenue (2009 - 2026)
Infosys (INFY) posted Cost of Revenue of $3.5 billion for Q2 2026, little changed on a QoQ basis from $3.5 billion in Q1 2026, and up 1.93% year-over-year from $3.4 billion in Q2 2025.
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Analysis
Infosys (INFY) Cost of Revenue (2009 - 2026) Analysis & Trends
Infosys has reported Cost of Revenue for 18 years, with the latest figure at $3.5 billion in Q2 2026.
- On a quarterly basis, Cost of Revenue rose 1.93% year-over-year to $3.5 billion in Q2 2026; TTM through Jun 2026 was $14.1 billion, a 4.28% increase from a year earlier, with the FY2026 full-year figure at $14.1 billion, up 5.03% from the prior year.
- Cost of Revenue was $3.5 billion for Q2 2026 at Infosys, roughly flat from $3.5 billion in the prior quarter.
- The five-year high for Cost of Revenue was $3.7 billion in Q4 2025, with the low at $3.0 billion in Q1 2022.
- Average Cost of Revenue over 5 years is $3.3 billion, with a median of $3.3 billion recorded in 2023.
- The sharpest annual moves came in 2022 and 2023: Cost of Revenue gained 25.37% in 2022, then climbed 1.36% in 2023.
- Over 5 years, Cost of Revenue stood at $3.2 billion in 2022, then rose by 1.36% to $3.3 billion in 2023, then increased by 5.19% to $3.4 billion in 2024, then climbed by 6.27% to $3.7 billion in 2025, then slipped by 4.86% to $3.5 billion in 2026.
- The last three Cost of Revenue figures came in at $3.5 billion (Q2 2026), $3.5 billion (Q1 2026), and $3.7 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 | 757,434.00 |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn | 3.48 Bn |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn | 3.65 Bn |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn | 18.24 Bn |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn | 5.25 Bn |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - | - |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn | 8.87 Bn |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn | 7.43 Bn |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn | 13.57 Bn |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn | 985.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 2.68 Bn |
API Access
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_KEYimport 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();