Sumitomo Mitsui Financial (SMFG) EPS (Diluted) (2016 - 2026)
Sumitomo Mitsui Financial (SMFG) recorded EPS (Diluted) of $0.82 in the quarter ended Jun 30, 2026, up 22.8% from $0.67 a year earlier.
Sumitomo Mitsui Financial (SMFG) EPS (Diluted) (2016 - 2026) Analysis & Trends
On a TTM basis, Sumitomo Mitsui Financial's EPS (Diluted) came in at $2.47 as of Jun 30, 2026, up 177.7% year-over-year; for the year ended Mar 31, 2026, it was $2.07, up 138.1% from the prior year.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 11.9% (years ended Mar 2021 to Mar 2026).
- Across earlier years, EPS (Diluted) came in at $0.87 in the year ended Mar 31, 2025 (-44.3%), $1.56 in the year ended Mar 31, 2024 (+6.9%), $1.46 in the year ended Mar 31, 2023 (+30.6%) and $1.12 in the year ended Mar 31, 2022 (-5.2%).
- Quarterly EPS (Diluted) has ranged from -$6.36 in the quarter ended Mar 31, 2023 to $1.96 in the quarter ended Dec 31, 2025 over the past five years.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 261.0% in the quarter ended Dec 31, 2024, against a decline of 63.8% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$1.17 (quarter ended Mar 31, 2026), $1.96 (quarter ended Dec 31, 2025) and $0.82 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 7.70 |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 1.20 |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 2.26 |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 3.46 |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 3.06 |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 20.99 |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 2.15 |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 2.00 |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 1.88 |
| 10 | Sumitomo Mitsui Financial | 91.09 Bn | -1,263.53 Bn | 8.81 Bn | 0.82 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.82 |
| Mar 31, 2026 | -11.28 |
| Dec 31, 2025 | 1.96 |
| Sep 30, 2025 | -2.96 |
| Jun 30, 2025 | 0.67 |
| Mar 31, 2025 | -12.03 |
| Dec 31, 2024 | 1.59 |
| Sep 30, 2024 | -3.82 |
| Jun 30, 2024 | 0.60 |
| Mar 31, 2024 | -9.84 |
| Dec 31, 2023 | 6.83 |
| Sep 30, 2023 | -2.74 |
| Jun 30, 2023 | 0.42 |
| Mar 31, 2023 | -6.40 |
| Dec 31, 2022 | 1.22 |
| Sep 30, 2022 | -1.00 |
| Jun 30, 2022 | 0.45 |
| Mar 31, 2022 | -5.22 |
| Dec 31, 2021 | 1.10 |
| Sep 30, 2021 | -1.30 |
Sumitomo Mitsui Financial 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=SMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "SMFG", "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=SMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();