Infosys (INFY) Cash & Equivalents (2009 - 2026)
Infosys' Cash & Equivalents was $243.5 billion in fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with $3.59 billion a year earlier.
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Analysis
Infosys (INFY) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Infosys came in at $2.34 billion, down 18.2% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $2.86 billion in FY2025 (+61.4%), $1.77 billion in FY2024 (+19.7%), $1.48 billion in FY2023 (-35.7%) and $2.31 billion in FY2022 (-31.8%).
- The fiscal Q2 2027 figure marks the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2010.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last seven quarters, with growth averaging 22.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2026 (growth of 62.5%); the worst was fiscal Q1 2023 (a decline of 38.3%).
- Per Business Quant data, INFY's Cash & Equivalents in the three fiscal quarters before Q2 2027 was $2.29 billion (Q1 2027), $2.34 billion (Q4 2026) and $2.22 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 1.52 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 992.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 1.54 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 440.31 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 749.30 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 244.63 Mn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 965.17 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 154.07 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 155.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.29 Bn |
| Mar 31, 2026 | 2.34 Bn |
| Dec 31, 2025 | 74.61 Bn |
| Sep 30, 2025 | 204.09 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 |
API Access
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_KEYimport 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();