Infosys (INFY) Retained Earnings (2009 - 2026)
Infosys (INFY) reported Retained Earnings of $13.44 billion for the quarter ended Jun 30, 2026, down 2.3% from $13.76 billion a year earlier but up 58.3% from the prior quarter.
Powered by 
Analysis
Infosys (INFY) Retained Earnings (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys posted Retained Earnings of $13.46 billion, down 2.2% from the prior year.
- Retained Earnings has a five-year compound annual growth rate of 2.2% (years ended Mar 2021 to Mar 2026).
- By year, Retained Earnings came in at $13.77 billion in the year ended Mar 31, 2025 (+9.6%), $12.56 billion in the year ended Mar 31, 2024 (+10.1%), $11.4 billion in the year ended Mar 31, 2023 (-2.3%) and $11.67 billion in the year ended Mar 31, 2022 (-3.4%).
- Five-year quarterly Retained Earnings spans a low of $7.31 billion in the quarter ended Mar 31, 2023 and a high of $14.66 billion in the quarter ended Sep 30, 2025.
- Year over year, Retained Earnings has now declined in each of the last three quarters, with growth averaging 5.6% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was the quarter ended Jun 30, 2025 (growth of 14.9%); the low point was the quarter ended Mar 31, 2023 (a decline of 12.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $8.49 billion (quarter ended Mar 31, 2026), $12.48 billion (quarter ended Dec 31, 2025) and $14.66 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 13.44 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 14.65 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 4.02 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | -1.49 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 5.34 Bn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 7.06 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 3.51 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 1.75 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 2.04 Bn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.44 Bn |
| Mar 31, 2026 | 8.49 Bn |
| Dec 31, 2025 | 12.48 Bn |
| Sep 30, 2025 | 14.66 Bn |
| Jun 30, 2025 | 13.76 Bn |
| Mar 31, 2025 | 9.25 Bn |
| Dec 31, 2024 | 12.87 Bn |
| Sep 30, 2024 | 13.10 Bn |
| Jun 30, 2024 | 11.98 Bn |
| Mar 31, 2024 | 8.39 Bn |
| Dec 31, 2023 | 11.61 Bn |
| Sep 30, 2023 | 11.85 Bn |
| Jun 30, 2023 | 11.18 Bn |
| Mar 31, 2023 | 7.31 Bn |
| Dec 31, 2022 | 11.30 Bn |
| Sep 30, 2022 | 12.32 Bn |
| Jun 30, 2022 | 11.54 Bn |
| Mar 31, 2022 | 8.30 Bn |
| Dec 31, 2021 | 10.97 Bn |
| Sep 30, 2021 | 11.10 Bn |
API Access
Infosys Retained Earnings 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=retained-earnings&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();