Mitsubishi Ufj Financial (MUFG) Price to Sales (2009 - 2020)
Mitsubishi Ufj Financial's (MUFG) Price to Sales was 16.42 for the year ended Mar 31, 2026, up 10.1% from 14.91 a year earlier.
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Analysis
Mitsubishi Ufj Financial (MUFG) Price to Sales (2009 - 2020) Analysis & Trends
Dating back to the year ended Mar 31, 2009, Mitsubishi Ufj Financial's Price to Sales record includes 18 years.
- The figure for the year ended Mar 31, 2026 ranks as the highest annual Price to Sales since the year ended Mar 31, 2014.
- According to Business Quant data, Price to Sales came in at 14.91 in the year ended Mar 31, 2025 (-5.3%), 15.75 in the year ended Mar 31, 2024 (+549.2%), 2.43 in the year ended Mar 31, 2023 (+6.4%) and 2.28 in the year ended Mar 31, 2022 (+18.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 1.18 |
| Mar 31, 2014 | 1.66 |
| Mar 31, 2013 | 1.68 |
| Mar 31, 2012 | 1.42 |
| Mar 31, 2011 | 1.42 |
| Mar 31, 2010 | 1.37 |
| Mar 31, 2009 | 0.93 |
API Access
Mitsubishi Ufj Financial Price to Sales 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=price-to-sales&ticker=MUFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=MUFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();