Banco Santander (SAN) EPS (Diluted) (2009 - 2026)
Banco Santander (SAN) recorded EPS (Diluted) of $0.27 in the quarter ended Jun 30, 2026, up 9.5% from $0.25 a year earlier but down 36.0% from the prior quarter.
Banco Santander (SAN) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Banco Santander's EPS (Diluted) came in at $1.80 as of Jun 30, 2026, up 32.3% year-over-year; for the year ended Dec 31, 2025, it was $1.06, up 23.3% from the prior year.
- Annual EPS (Diluted) has increased for four straight years.
- Across earlier years, EPS (Diluted) came in at $0.86 in the year ended Dec 31, 2024 (+17.0%), $0.74 in the year ended Dec 31, 2023 (+22.7%), $0.60 in the year ended Dec 31, 2022 (+7.9%) and $0.56 in the year ended Dec 31, 2021.
- Quarterly EPS (Diluted) has ranged from $0.14 in the quarter ended Dec 31, 2022 to $0.78 in the quarter ended Sep 30, 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) has increased for 13 consecutive quarters, with growth averaging 54.7% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 235.6% in the quarter ended Sep 30, 2024, against a decline of 23.2% in the quarter ended Sep 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.43 (quarter ended Mar 31, 2026), $0.29 (quarter ended Dec 31, 2025) and $0.78 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 899.18 Bn | 899.18 Bn | - | 7.70 |
| 2 | Bank Of America | 361.85 Bn | -2,014.21 Bn | - | 1.20 |
| 3 | Hsbc Holdings | 327.17 Bn | -1,501.98 Bn | - | 2.26 |
| 4 | Morgan Stanley | 280.35 Bn | -228.74 Bn | - | 3.46 |
| 5 | Royal Bank Of Canada | 272.16 Bn | -557.88 Bn | - | 3.06 |
| 6 | Goldman Sachs | 263.94 Bn | -3,293.18 Bn | - | 20.99 |
| 7 | Mitsubishi Ufj Financial | 250.56 Bn | -44.38 Bn | 10.89 Bn | 2.15 |
| 8 | Wells Fargo & Company | 242.36 Bn | 242.36 Bn | - | 2.00 |
| 9 | American Express | 208.81 Bn | 635.45 Mn | - | 4.58 |
| 10 | Banco Santander | 199.90 Bn | -482.10 Bn | 10.41 Bn | 0.27 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.27 |
| Mar 31, 2026 | 0.43 |
| Dec 31, 2025 | 0.29 |
| Sep 30, 2025 | 0.26 |
| Jun 30, 2025 | 0.25 |
| Mar 31, 2025 | 6.86 |
| Dec 31, 2024 | 0.22 |
| Sep 30, 2024 | 0.22 |
| Jun 30, 2024 | 0.21 |
| Mar 31, 2024 | 0.19 |
| Dec 31, 2023 | 0.19 |
| Sep 30, 2023 | 0.19 |
| Jun 30, 2023 | 0.17 |
| Mar 31, 2023 | 0.16 |
| Dec 31, 2022 | 0.14 |
| Sep 30, 2022 | 0.14 |
| Jun 30, 2022 | 0.15 |
| Mar 31, 2022 | 0.17 |
| Dec 31, 2021 | 0.15 |
| Sep 30, 2021 | 0.18 |
Banco Santander 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=SAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "SAN", "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=SAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();