Infosys (INFY) Retained Earnings (2009 - 2026)
Infosys (INFY) reported Retained Earnings of $13.44 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.3% from $13.76 billion a year earlier and down 0.1% from the prior quarter.
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Analysis
Infosys (INFY) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Infosys posted Retained Earnings of $13.46 billion, down 2.2% from FY2025.
- Retained Earnings has a five-year compound annual growth rate of 2.2% (FY2021 to FY2026).
- By fiscal year, Retained Earnings came in at $13.77 billion in FY2025 (+9.6%), $12.56 billion in FY2024 (+10.1%), $11.4 billion in FY2023 (-2.3%) and $11.67 billion in FY2022 (-3.4%).
- Five-year quarterly Retained Earnings spans a low of $10.97 billion in fiscal Q3 2022 and a high of $14.66 billion in fiscal Q2 2026.
- Year over year, Retained Earnings has now declined in each of the last three quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was fiscal Q1 2026 (growth of 14.9%); the low point was fiscal Q3 2022 (a decline of 4.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $13.46 billion (Q4 2026), $12.48 billion (Q3 2026) and $14.66 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 14.32 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 14.92 Bn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | -1.37 Bn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 4.40 Bn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 5.20 Bn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 7.38 Bn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 2.09 Bn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 3.76 Bn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 1.73 Bn |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 1.86 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.32 Bn |
| Jun 30, 2026 | 13.44 Bn |
| Mar 31, 2026 | 13.46 Bn |
| Dec 31, 2025 | 12.48 Bn |
| Sep 30, 2025 | 14.66 Bn |
| Jun 30, 2025 | 13.76 Bn |
| Mar 31, 2025 | 13.77 Bn |
| Dec 31, 2024 | 12.87 Bn |
| Sep 30, 2024 | 13.10 Bn |
| Jun 30, 2024 | 11.98 Bn |
| Mar 31, 2024 | 12.56 Bn |
| Dec 31, 2023 | 11.61 Bn |
| Sep 30, 2023 | 11.85 Bn |
| Jun 30, 2023 | 11.18 Bn |
| Mar 31, 2023 | 11.40 Bn |
| Dec 31, 2022 | 11.30 Bn |
| Sep 30, 2022 | 12.32 Bn |
| Jun 30, 2022 | 11.54 Bn |
| Mar 31, 2022 | 11.67 Bn |
| Dec 31, 2021 | 10.97 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();