Mizuho Financial (MFG) Exchange Rate Effect (2009 - 2011)
Mizuho Financial (MFG) reported Exchange Rate Effect of $6 billion for the year ended Mar 31, 2026, compared with -$1.06 billion a year earlier.
Mizuho Financial (MFG) Exchange Rate Effect (2009 - 2011) Analysis & Trends
Dating back to the year ended Mar 31, 2009, Mizuho Financial's Exchange Rate Effect record includes 18 years.
- Exchange Rate Effect has a five-year compound annual growth rate of 22.0% (years ended Mar 2021 to Mar 2026).
- Five-year annual Exchange Rate Effect spans a low of -$1.06 billion in the year ended Mar 31, 2025 and a high of $12.5 billion in the year ended Mar 31, 2024.
- According to Business Quant data, Exchange Rate Effect came in at -$1.06 billion in the year ended Mar 31, 2025, $12.5 billion in the year ended Mar 31, 2024 (+96.9%), $6.35 billion in the year ended Mar 31, 2023 (-26.3%) and $8.61 billion in the year ended Mar 31, 2022 (+287.5%).
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 | Mizuho Financial | 13.77 Bn | -1,104.74 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | 144.06 Mn |
| Dec 31, 2010 | -206.88 Mn |
| Sep 30, 2010 | -135.49 Mn |
| Jun 30, 2010 | 10.47 Mn |
| Mar 31, 2010 | -1.77 Mn |
| Dec 31, 2009 | -19.76 Mn |
| Sep 30, 2009 | -97.90 Mn |
| Jun 30, 2009 | 107.94 Mn |
Mizuho 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=MFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MFG", "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=MFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();