Infosys (INFY) Change in Cash (2009 - 2026)
Infosys (INFY) recorded Change in Cash of -$64 million in the quarter ended Jun 30, 2026, compared with $324 million a year earlier.
Infosys (INFY) Change in Cash (2009 - 2026) Analysis & Trends
On a TTM basis, Infosys' Change in Cash came in at -$824 million as of Jun 30, 2026; for the year ended Mar 31, 2026, it came in at -$436 million.
- Across earlier years, Change in Cash came in at $1.12 billion in the year ended Mar 31, 2025 (+244.1%), $324 million in the year ended Mar 31, 2024, -$653 million in the year ended Mar 31, 2023 and -$985 million in the year ended Mar 31, 2022.
- Quarterly Change in Cash has ranged from -$68.54 billion in the quarter ended Dec 31, 2024 to $67.92 billion in the quarter ended Sep 30, 2024 over the past five years.
- On a year-over-year basis, Change in Cash rose in 1 of the last five quarters, with an average decline of 0.2%.
- Peak year-over-year performance for Change in Cash in the last five years was growth of 179.2% in the quarter ended Mar 31, 2024, against a decline of 79.7% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $128 million (quarter ended Mar 31, 2026), -$67.48 billion (quarter ended Dec 31, 2025) and $66.6 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | -64.00 Mn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | -466.00 Mn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | -178.88 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | -344.88 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | -216.80 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | -36.24 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | -41.88 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | -47.04 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | -248.33 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | -106.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -64.00 Mn |
| Mar 31, 2026 | 128.00 Mn |
| Dec 31, 2025 | -67.48 Bn |
| Sep 30, 2025 | 66.60 Bn |
| Jun 30, 2025 | 324.00 Mn |
| Mar 31, 2025 | -80.83 Bn |
| Dec 31, 2024 | 12.42 Bn |
| Sep 30, 2024 | 67.92 Bn |
| Jun 30, 2024 | 1.60 Bn |
| Mar 31, 2024 | -14.23 Bn |
| Dec 31, 2023 | -21.20 Bn |
| Sep 30, 2023 | 34.85 Bn |
| Jun 30, 2023 | 898.00 Mn |
| Mar 31, 2023 | 53.00 Mn |
| Dec 31, 2022 | -398.00 Mn |
| Sep 30, 2022 | 122.00 Mn |
| Jun 30, 2022 | -430.00 Mn |
| Mar 31, 2022 | 85.98 Bn |
| Dec 31, 2021 | -20.68 Bn |
| Sep 30, 2021 | -65.82 Bn |
Infosys Change in Cash 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=change-in-cash&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();