Mitsubishi Ufj Financial (MUFG) Revenue (2009 - 2020)
Mitsubishi Ufj Financial's Revenue came in at $12.27 billion for the year ended Mar 31, 2026, up 11.3% from $11.03 billion a year earlier.
Analysis
Mitsubishi Ufj Financial (MUFG) Revenue (2009 - 2020) Analysis & Trends
Going back to the year ended Mar 31, 2009, Mitsubishi Ufj Financial's Revenue data covers 18 years.
- Revenue carries a five-year compound annual growth rate of -20.2% (years ended Mar 2021 to Mar 2026).
- The figure for the year ended Mar 31, 2026 represents the highest annual Revenue since the year ended Mar 31, 2023.
- Per Business Quant, earlier years put Revenue at $11.03 billion in the year ended Mar 31, 2025 (+37.6%), $8.02 billion in the year ended Mar 31, 2024 (-76.0%), $33.43 billion in the year ended Mar 31, 2023 (-7.3%) and $36.06 billion in the year ended Mar 31, 2022 (-4.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 13.30 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 | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 22.62 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 19.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 9.50 Bn |
| Jun 30, 2020 | 10.11 Bn |
| Mar 31, 2010 | 876.38 Mn |
| Mar 31, 2009 | 1.12 Bn |
API Access
Mitsubishi Ufj Financial Revenue 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=revenue&ticker=MUFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "MUFG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=MUFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();