Intercorp Financial Services (IFS) EPS (Diluted) (2018 - 2026)
Intercorp Financial Services (IFS) reported EPS (Diluted) of $5.21 for the quarter ended Jun 30, 2026, up 3.2% from $5.05 a year earlier but down 2.7% from the prior quarter.
Intercorp Financial Services (IFS) EPS (Diluted) (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Intercorp Financial Services' EPS (Diluted) came in at $18.73, up 12.9% year-over-year; for the year ended Dec 31, 2025, it was $17.39, up 52.0% from the prior year.
- EPS (Diluted) has a five-year compound annual growth rate of 39.2% (years ended Dec 2020 to Dec 2025).
- By year, EPS (Diluted) came in at $11.44 in the year ended Dec 31, 2024 (+21.9%), $9.38 in the year ended Dec 31, 2023 (-89.2%), $87.04 in the year ended Dec 31, 2022 (+458.1%) and $15.60 in the year ended Dec 31, 2021 (+369.5%).
- Five-year quarterly EPS (Diluted) spans a low of $1.22 in the quarter ended Mar 31, 2024 and a high of $9.33 in the quarter ended Dec 31, 2023.
- Year over year, EPS (Diluted) gained in six of the last eight quarters, with growth averaging 53.0%.
- The high point for year-over-year EPS (Diluted) in five years was the quarter ended Mar 31, 2025 (growth of 218.4%); the low point was the quarter ended Sep 30, 2023 (a decline of 68.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.36 (quarter ended Mar 31, 2026), $4.10 (quarter ended Dec 31, 2025) and $3.97 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 5.57 |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 1.50 |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 0.91 |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 2.02 |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 3.03 |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 3.06 |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 17.01 |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.87 |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2.15 |
| 10 | Intercorp Financial Services | 5.40 Bn | -85.74 Bn | - | 4.07 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.07 |
| Jun 30, 2026 | 5.21 |
| Mar 31, 2026 | 5.36 |
| Dec 31, 2025 | 4.10 |
| Sep 30, 2025 | 3.97 |
| Jun 30, 2025 | 5.05 |
| Mar 31, 2025 | 3.88 |
| Dec 31, 2024 | 4.27 |
| Sep 30, 2024 | 3.37 |
| Jun 30, 2024 | 2.47 |
| Mar 31, 2024 | 1.22 |
| Dec 31, 2023 | 9.33 |
| Sep 30, 2023 | 1.68 |
| Jun 30, 2023 | 2.85 |
| Mar 31, 2023 | 2.30 |
| Dec 31, 2022 | 3.47 |
| Sep 30, 2022 | 5.29 |
| Jun 30, 2022 | 2.16 |
| Mar 31, 2022 | 3.47 |
| Dec 31, 2021 | 2.26 |
Intercorp Financial Services 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=IFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "IFS", "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=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();