Mizuho Financial (MFG) Interest Expense - Debt (2009 - 2011)
Mizuho Financial's Interest Expense - Debt came in at -$29.05 billion for the year ended Mar 31, 2026, compared with -$33.11 billion a year earlier.
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Analysis
Mizuho Financial (MFG) Interest Expense - Debt (2009 - 2011) Analysis & Trends
Going back to the year ended Mar 31, 2009, Mizuho Financial's Interest Expense - Debt data covers 18 years.
- The figure for the year ended Mar 31, 2026 represents the highest annual Interest Expense - Debt since the year ended Mar 31, 2023.
- Per Business Quant, earlier years put Interest Expense - Debt at -$33.11 billion in the year ended Mar 31, 2025, -$32.99 billion in the year ended Mar 31, 2024, -$15.01 billion in the year ended Mar 31, 2023 and -$2.44 billion in the year ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense - Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4.47 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 3.41 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - | 2.62 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2.39 Bn |
| 10 | Mizuho Financial | 13.74 Bn | -1,104.77 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | 5.62 Bn |
| Dec 31, 2010 | -792.11 Mn |
| Sep 30, 2010 | -1.12 Bn |
| Jun 30, 2010 | -1.19 Bn |
| Mar 31, 2010 | 5.87 Bn |
| Dec 31, 2009 | -850.40 Mn |
| Sep 30, 2009 | -1.10 Bn |
| Jun 30, 2009 | -1.50 Bn |
API Access
Mizuho Financial Interest Expense - Debt 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=interest-expense-debt&ticker=MFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-debt", "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=interest-expense-debt&ticker=MFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();