Mizuho Financial (MFG) Change in Net Loans (2009 - 2011)
Mizuho Financial (MFG) posted Change in Net Loans of -$34.16 billion for the year ended Mar 31, 2026, compared with -$14.5 billion a year earlier.
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Analysis
Mizuho Financial (MFG) Change in Net Loans (2009 - 2011) Analysis & Trends
Since the year ended Mar 31, 2009, Mizuho Financial has reported Change in Net Loans for 18 years.
- The figure for the year ended Mar 31, 2026 stands as the lowest annual Change in Net Loans since the year ended Mar 31, 2020.
- Business Quant data shows MFG's Change in Net Loans at -$14.5 billion in the year ended Mar 31, 2025, -$6.31 billion in the year ended Mar 31, 2024, -$19.36 billion in the year ended Mar 31, 2023 and -$12.45 billion in the year ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Mizuho Financial | 13.74 Bn | -1,104.77 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | -8.70 Bn |
| Dec 31, 2010 | -5.13 Bn |
| Sep 30, 2010 | -3.14 Bn |
| Jun 30, 2010 | -3.63 Bn |
| Mar 31, 2010 | 16.58 Bn |
| Dec 31, 2009 | 2.42 Bn |
| Sep 30, 2009 | 36.84 Bn |
| Jun 30, 2009 | 32.44 Bn |
API Access
Mizuho Financial Change in Net Loans 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=change-in-net-loans&ticker=MFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=MFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();