Sumitomo Mitsui Financial (SMFG) Tax Provisions (2009 - 2026)
Sumitomo Mitsui Financial (SMFG) reported Tax Provisions of $1.16 billion for the quarter ended Jun 30, 2026, up 64.7% from $706.61 million a year earlier.
Sumitomo Mitsui Financial (SMFG) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sumitomo Mitsui Financial's Tax Provisions came in at -$2.88 billion; for the year ended Mar 31, 2026, it came in at -$89 million.
- By year, Tax Provisions came in at -$98 million in the year ended Mar 31, 2025, -$69 million in the year ended Mar 31, 2024, -$61 million in the year ended Mar 31, 2023 and -$63 million in the year ended Mar 31, 2022.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Tax Provisions since the quarter ended Sep 30, 2016.
- The high point for year-over-year Tax Provisions in five years was the quarter ended Sep 30, 2022 (growth of 100.9%); the low point was the quarter ended Mar 31, 2024 (a decline of 69.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$904.18 million (quarter ended Mar 31, 2026), -$3.75 billion (quarter ended Dec 31, 2025) and $611.15 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Sumitomo Mitsui Financial | 99.25 Bn | 100.13 Bn | - | 1.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.16 Bn |
| Mar 31, 2026 | -904.18 Mn |
| Dec 31, 2025 | -3.75 Bn |
| Sep 30, 2025 | 611.15 Mn |
| Jun 30, 2025 | 706.61 Mn |
| Mar 31, 2025 | -2.18 Bn |
| Dec 31, 2024 | -2.91 Bn |
| Sep 30, 2024 | -617.48 Mn |
| Jun 30, 2024 | 930.15 Mn |
| Mar 31, 2024 | 161.70 Mn |
| Dec 31, 2023 | -1.51 Bn |
| Sep 30, 2023 | 767.89 Mn |
| Jun 30, 2023 | 671.00 Mn |
| Mar 31, 2023 | 525.43 Mn |
| Dec 31, 2022 | -1.71 Bn |
| Sep 30, 2022 | 1.11 Bn |
| Jun 30, 2022 | 688.00 Mn |
| Mar 31, 2022 | -610.64 Mn |
| Dec 31, 2021 | -1.98 Bn |
| Sep 30, 2021 | 552.18 Mn |
Sumitomo Mitsui Financial Tax Provisions 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=tax-provisions&ticker=SMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();