Mizuho Financial (MFG) Change in Accured Expenses (2009 - 2011)
Mizuho Financial (MFG) posted Change in Accured Expenses of $1.2 billion for the year ended Mar 31, 2026, compared with -$194.72 million a year earlier.
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Analysis
Mizuho Financial (MFG) Change in Accured Expenses (2009 - 2011) Analysis & Trends
Since the year ended Mar 31, 2009, Mizuho Financial has reported Change in Accured Expenses for 18 years.
- The figure for the year ended Mar 31, 2026 stands as the highest annual Change in Accured Expenses since the year ended Mar 31, 2023.
- Business Quant data shows MFG's Change in Accured Expenses at -$194.72 million in the year ended Mar 31, 2025, $957.59 million in the year ended Mar 31, 2024 (-50.1%), $1.92 billion in the year ended Mar 31, 2023 and $24.79 million in the year ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Mizuho Financial | 13.54 Bn | -1,104.97 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | 12.52 Bn |
| Dec 31, 2010 | -12.35 Bn |
| Sep 30, 2010 | 4.36 Bn |
| Jun 30, 2010 | -4.43 Bn |
| Mar 31, 2010 | 16.39 Bn |
| Dec 31, 2009 | -16.49 Bn |
| Sep 30, 2009 | 15.03 Bn |
| Jun 30, 2009 | -14.64 Bn |
API Access
Mizuho Financial Change in Accured Expenses 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-accured-expenses&ticker=MFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=MFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();