Infosys (INFY) Cash & Equivalents (2009 - 2026)
Infosys' Cash & Equivalents was $2.29 billion in the quarter ended Jun 30, 2026, down 28.6% from $3.2 billion a year earlier and down 5.8% from the prior quarter.
Infosys (INFY) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Cash & Equivalents at Infosys came in at $2.34 billion, down 18.2% from the prior year.
- Cash & Equivalents shows a five-year compound annual growth rate of -7.1% (years ended Mar 2021 to Mar 2026).
- In earlier years, Cash & Equivalents was $2.86 billion in the year ended Mar 31, 2025 (+61.4%), $1.77 billion in the year ended Mar 31, 2024 (+19.7%), $1.48 billion in the year ended Mar 31, 2023 (-36.3%) and $2.32 billion in the year ended Mar 31, 2022 (-31.3%).
- Quarterly Cash & Equivalents has moved between $1.4 billion (the quarter ended Dec 31, 2022) and $3.59 billion (the quarter ended Sep 30, 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 16.5% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was the quarter ended Dec 31, 2024 (growth of 62.4%); the worst was the quarter ended Jun 30, 2022 (a decline of 38.3%).
- Per Business Quant data, INFY's Cash & Equivalents in the three quarters before the quarter ended Jun 30, 2026 was $2.43 billion (quarter ended Mar 31, 2026), $2.22 billion (quarter ended Dec 31, 2025) and $3.59 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 934.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 749.30 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 361.80 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 440.31 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 244.63 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 155.40 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 808.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.29 Bn |
| Mar 31, 2026 | 2.34 Bn |
| Dec 31, 2025 | 2.22 Bn |
| Sep 30, 2025 | 3.59 Bn |
| Jun 30, 2025 | 3.20 Bn |
| Mar 31, 2025 | 2.86 Bn |
| Dec 31, 2024 | 2.66 Bn |
| Sep 30, 2024 | 2.60 Bn |
| Jun 30, 2024 | 1.97 Bn |
| Mar 31, 2024 | 1.77 Bn |
| Dec 31, 2023 | 1.64 Bn |
| Sep 30, 2023 | 1.89 Bn |
| Jun 30, 2023 | 1.50 Bn |
| Mar 31, 2023 | 1.48 Bn |
| Dec 31, 2022 | 1.40 Bn |
| Sep 30, 2022 | 1.83 Bn |
| Jun 30, 2022 | 1.77 Bn |
| Mar 31, 2022 | 2.31 Bn |
| Dec 31, 2021 | 2.15 Bn |
| Sep 30, 2021 | 2.43 Bn |
Infosys Cash & Equivalents 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=cash-and-equivalents&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();