Mitsubishi Ufj Financial (MUFG) Land & Improvements (2010 - 2022)
Mitsubishi Ufj Financial's Land & Improvements came in at $5.56 billion for the quarter ended Mar 31, 2022, down 11.4% from $6.27 billion a year earlier.
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Analysis
Mitsubishi Ufj Financial (MUFG) Land & Improvements (2010 - 2022) Analysis & Trends
As of Mar 31, 2022, Mitsubishi Ufj Financial's Land & Improvements was $5.76 billion, down 8.1% from the prior year.
- Land & Improvements carries a four-year compound annual growth rate of -2.2% (years ended Mar 2018 to Mar 2022).
- Going back by year, Land & Improvements was $6.26 billion in the year ended Mar 31, 2021 (+0.1%), $6.26 billion in the year ended Mar 31, 2020 (+2.9%), $6.08 billion in the year ended Mar 31, 2019 (-3.3%) and $6.29 billion in the year ended Mar 31, 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | American Express | 203.91 Bn | -4.26 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 5.56 Bn |
| Mar 31, 2021 | 6.27 Bn |
| Mar 31, 2020 | 6.25 Bn |
| Mar 31, 2019 | 6.12 Bn |
| Mar 31, 2018 | 6.43 Bn |
| Mar 31, 2011 | 9.00 Bn |
| Mar 31, 2010 | 8.23 Bn |
API Access
Mitsubishi Ufj Financial Land & Improvements 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=land-and-improvements&ticker=MUFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=MUFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();