Infosys (INFY) Free Cash Flow (2009 - 2026)
Infosys' Free Cash Flow was $204.31 billion in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 8.9% from $187.55 billion a year earlier.
Infosys (INFY) Free Cash Flow (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Infosys' Free Cash Flow was $21.15 billion through Sep 30, 2026, down 3.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $4.35 billion, down 5.8% from FY2025.
- Free Cash Flow shows a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- In earlier fiscal years, Free Cash Flow was $4.61 billion in FY2025 (+35.1%), $3.41 billion in FY2024 (+7.6%), $3.17 billion in FY2023 (-12.7%) and $3.64 billion in FY2022 (+2.6%).
- The fiscal Q2 2027 figure marks the highest quarterly Free Cash Flow in data going back to fiscal Q4 2009.
- Compared with a year earlier, Free Cash Flow was higher in four of the last six quarters, with growth averaging 12.7%.
- The best year-over-year quarter for Free Cash Flow over five years was fiscal Q3 2025 (growth of 89.8%); the worst was fiscal Q3 2026 (a decline of 25.8%).
- Per Business Quant data, INFY's Free Cash Flow in the three fiscal quarters before Q2 2027 was $1.12 billion (Q1 2027), -$267.43 billion (Q4 2026) and $83.14 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 194.39 Bn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 925.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 599.57 Mn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 372.00 Mn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 457.05 Mn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | -975.60 Mn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 297.21 Mn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 274.16 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | -307.50 Mn |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn | 102.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 194.39 Bn |
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | -267.43 Bn |
| Dec 31, 2025 | 86.00 Bn |
| Sep 30, 2025 | 184.69 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | -278.83 Bn |
| Dec 31, 2024 | 111.99 Bn |
| Sep 30, 2024 | 170.24 Bn |
| Jun 30, 2024 | 1.21 Bn |
| Mar 31, 2024 | -181.59 Bn |
| Dec 31, 2023 | 59.00 Bn |
| Sep 30, 2023 | 125.10 Bn |
| Jun 30, 2023 | 897.00 Mn |
| Mar 31, 2023 | -161.09 Bn |
| Dec 31, 2022 | 53.19 Bn |
| Sep 30, 2022 | 110.24 Bn |
| Jun 30, 2022 | 834.00 Mn |
| Mar 31, 2022 | -182.24 Bn |
| Dec 31, 2021 | 59.09 Bn |
Infosys Free Cash Flow 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=free-cash-flow&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();