Shinhan Financial (SHG) Exchange Rate Effect (2010 - 2026)
Shinhan Financial (SHG) reported Exchange Rate Effect of $202.3 million for the quarter ended Mar 31, 2026, compared with -$2.08 million a year earlier.
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Analysis
Shinhan Financial (SHG) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Shinhan Financial's Exchange Rate Effect came in at $185.13 million, up 35.2% year-over-year; for the year ended Dec 31, 2025, it came in at -$18.93 million.
- By year, Exchange Rate Effect came in at $175.21 million in the year ended Dec 31, 2024, -$11.78 million in the year ended Dec 31, 2023, -$45.82 million in the year ended Dec 31, 2022 and $98.75 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 ranks as the highest quarterly Exchange Rate Effect since the quarter ended Dec 31, 2022.
- The high point for year-over-year Exchange Rate Effect in five years was the quarter ended Jun 30, 2022 (growth of 834.2%); the low point was the quarter ended Dec 31, 2023 (a decline of 100.0%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $12.89 million (quarter ended Dec 31, 2025), $29.15 million (quarter ended Sep 30, 2025) and -$59.21 million (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | Shinhan Financial | 38.71 Bn | 40.32 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 202.30 Mn |
| Dec 31, 2025 | 12.89 Mn |
| Sep 30, 2025 | 29.15 Mn |
| Jun 30, 2025 | -59.21 Mn |
| Mar 31, 2025 | -2.08 Mn |
| Dec 31, 2024 | 152.78 Mn |
| Sep 30, 2024 | -58.16 Mn |
| Jun 30, 2024 | 44.36 Mn |
| Mar 31, 2024 | 33.03 Mn |
| Dec 31, 2023 | 423,287.90 |
| Sep 30, 2023 | -4.31 Mn |
| Jun 30, 2023 | -1.78 Mn |
| Mar 31, 2023 | 42.42 Mn |
| Dec 31, 2022 | 18.05 Bn |
| Sep 30, 2022 | 75.66 Mn |
| Jun 30, 2022 | 51.81 Mn |
| Mar 31, 2022 | 21.72 Mn |
| Dec 31, 2021 | 6.64 Mn |
| Sep 30, 2021 | 51.29 Mn |
| Jun 30, 2021 | 5.55 Mn |
API Access
Shinhan Financial Exchange Rate Effect 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=exchange-rate-effect&ticker=SHG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SHG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=SHG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();