Infosys (INFY) Enterprise Value (2009 - 2026)
Infosys' Enterprise Value was $44.2 billion in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 29.4% from $62.62 billion a year earlier but up 12.0% from the prior quarter.
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Analysis
Infosys (INFY) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Infosys' Enterprise Value was $35.7 billion through Sep 30, 2026, down 31.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $51.09 billion, down 30.0% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of -7.7% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $72.93 billion in FY2025 (+0.4%), $72.67 billion in FY2024 (+2.5%), $70.89 billion in FY2023 (-30.7%) and $102.36 billion in FY2022 (+34.0%).
- Quarterly Enterprise Value has moved between $39.47 billion (fiscal Q1 2027) and $105.19 billion (fiscal Q3 2022) over five years.
- Compared with a year earlier, Enterprise Value has declined for six straight quarters, with an average decline of 16.8% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q3 2022 (growth of 52.9%); the worst was fiscal Q1 2027 (a decline of 45.9%).
- Per Business Quant data, INFY's Enterprise Value in the three fiscal quarters before Q2 2027 was $39.47 billion (Q1 2027), $52.4 billion (Q4 2026) and $71.08 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.31 Bn |
| Jun 30, 2026 | 39.47 Bn |
| Mar 31, 2026 | 52.40 Bn |
| Dec 31, 2025 | -23.47 Bn |
| Sep 30, 2025 | -161.71 Bn |
| Jun 30, 2025 | 72.92 Bn |
| Mar 31, 2025 | 72.93 Bn |
| Dec 31, 2024 | 87.44 Bn |
| Sep 30, 2024 | 89.00 Bn |
| Jun 30, 2024 | 74.31 Bn |
| Mar 31, 2024 | 72.67 Bn |
| Dec 31, 2023 | 73.70 Bn |
| Sep 30, 2023 | 66.15 Bn |
| Jun 30, 2023 | 64.54 Bn |
| Mar 31, 2023 | 70.89 Bn |
| Dec 31, 2022 | 73.36 Bn |
| Sep 30, 2022 | 85.30 Bn |
| Jun 30, 2022 | 75.12 Bn |
| Mar 31, 2022 | 102.36 Bn |
| Dec 31, 2021 | 105.19 Bn |
API Access
Infosys Enterprise Value 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=enterprise-value&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();