Infosys (INFY) EPS (Diluted) (2011 - 2026)
Infosys (INFY) reported EPS (Diluted) of $18.99 for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 7.1% from $17.74 a year earlier and up 0.7% from the prior quarter.
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Analysis
Infosys (INFY) EPS (Diluted) (2011 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Infosys' EPS (Diluted) came in at $74.63, up 116.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $0.80, up 5.7% from FY2025.
- EPS (Diluted) has a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $0.76 in FY2025 (-0.5%), $0.76 in FY2024 (+7.3%), $0.71 in FY2023 (+1.3%) and $0.70 in FY2022 (+14.3%).
- Five-year quarterly EPS (Diluted) spans a low of $0.16 in fiscal Q1 2023 and a high of $20.63 in fiscal Q4 2026.
- Year over year, EPS (Diluted) gained in three of the last five quarters, with growth averaging 1.6%.
- The high point for year-over-year EPS (Diluted) in five years was fiscal Q3 2025 (growth of 12.6%); the low point was fiscal Q4 2024 (a decline of 98.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $18.86 (Q1 2027), $20.63 (Q4 2026) and $16.03 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 18.99 |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 1.35 |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 0.03 |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 2.46 |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 1.49 |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 5.24 |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 5.26 |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 2.53 |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 1.52 |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn | 0.45 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.99 |
| Jun 30, 2026 | 18.86 |
| Mar 31, 2026 | 20.63 |
| Dec 31, 2025 | 16.03 |
| Sep 30, 2025 | 17.74 |
| Jun 30, 2025 | 0.19 |
| Mar 31, 2025 | 0.20 |
| Dec 31, 2024 | 16.42 |
| Sep 30, 2024 | 0.19 |
| Jun 30, 2024 | 0.18 |
| Mar 31, 2024 | 19.23 |
| Dec 31, 2023 | 14.58 |
| Sep 30, 2023 | 0.18 |
| Jun 30, 2023 | 14.20 |
| Mar 31, 2023 | 14.63 |
| Dec 31, 2022 | 15.61 |
| Sep 30, 2022 | 0.18 |
| Jun 30, 2022 | 0.16 |
| Mar 31, 2022 | 0.18 |
| Dec 31, 2021 | 0.18 |
API Access
Infosys EPS (Diluted) 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=eps-diluted&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();