Infosys (INFY) Cash & Equivalents (2009 - 2026)
Infosys (INFY) posted Cash & Equivalents of $2.3 billion for Q2 2026, down 5.83% on a QoQ basis from $2.4 billion in Q1 2026, and down 28.58% year-over-year from $3.2 billion in Q2 2025.
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Analysis
Infosys (INFY) Cash & Equivalents (2009 - 2026) Analysis & Trends
Infosys has reported Cash & Equivalents for 18 years, with the latest figure at $2.3 billion in Q2 2026.
- On a quarterly basis, Cash & Equivalents fell 28.58% year-over-year to $2.3 billion in Q2 2026; TTM through Jun 2026 was $2.3 billion, a 28.58% decrease from a year earlier, with the FY2026 full-year figure at $2.3 billion, down 18.18% from the prior year.
- Cash & Equivalents was $2.3 billion for Q2 2026 at Infosys, down from $2.4 billion in the prior quarter.
- The five-year high for Cash & Equivalents was $4.6 billion in Q3 2022, with the low at $1.4 billion in Q4 2022.
- Average Cash & Equivalents over 5 years is $2.6 billion, with a median of $2.3 billion recorded in 2022.
- The sharpest annual moves came in 2024 and 2025: Cash & Equivalents jumped 158.54% in 2024, then sank 47.74% in 2025.
- Over 5 years, Cash & Equivalents stood at $1.4 billion in 2022, then grew by 17.06% to $1.6 billion in 2023, then surged by 158.54% to $4.2 billion in 2024, then tumbled by 47.74% to $2.2 billion in 2025, then advanced by 3.2% to $2.3 billion in 2026.
- The last three Cash & Equivalents figures came in at $2.3 billion (Q2 2026), $2.4 billion (Q1 2026), and $2.2 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 452.29 Mn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 789.40 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 126.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 126.72 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 2.11 Bn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 240.30 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | 863.79 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.29 Bn |
| Mar 31, 2026 | 2.43 Bn |
| Dec 31, 2025 | 2.22 Bn |
| Sep 30, 2025 | 3.59 Bn |
| Jun 30, 2025 | 3.20 Bn |
| Mar 31, 2025 | 2.82 Bn |
| Dec 31, 2024 | 4.24 Bn |
| Sep 30, 2024 | 4.07 Bn |
| Jun 30, 2024 | 1.97 Bn |
| Mar 31, 2024 | 1.78 Bn |
| Dec 31, 2023 | 1.64 Bn |
| Sep 30, 2023 | 3.65 Bn |
| Jun 30, 2023 | 1.50 Bn |
| Mar 31, 2023 | 1.48 Bn |
| Dec 31, 2022 | 1.40 Bn |
| Sep 30, 2022 | 4.65 Bn |
| Jun 30, 2022 | 1.77 Bn |
| Mar 31, 2022 | 2.32 Bn |
| Dec 31, 2021 | 2.15 Bn |
| Sep 30, 2021 | 5.26 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();