Mitsubishi Ufj Financial (MUFG) Receivables (2018 - 2022)
Mitsubishi Ufj Financial (MUFG) posted Receivables of $11.6 billion for the quarter ended Mar 31, 2022, down 2.9% from $11.95 billion a year earlier.
Mitsubishi Ufj Financial (MUFG) Receivables (2018 - 2022) Analysis & Trends
As of Mar 31, 2022, Mitsubishi Ufj Financial's Receivables came in at $12.01 billion, up 0.6% from the prior year.
- Annual Receivables shows a four-year compound annual growth rate of 0.3% (years ended Mar 2018 to Mar 2022).
- In prior years, Mitsubishi Ufj Financial's Receivables was $11.93 billion in the year ended Mar 31, 2021 (-4.9%), $12.54 billion in the year ended Mar 31, 2020 (-55.7%), $28.34 billion in the year ended Mar 31, 2019 (+139.2%) and $11.85 billion in the year ended Mar 31, 2018.
- The figure for the quarter ended Mar 31, 2022 stands as the lowest quarterly Receivables since the quarter ended Mar 31, 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 794.08 Mn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 25.06 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 215.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 11.05 Bn |
| Mar 31, 2021 | 11.47 Bn |
| Mar 31, 2020 | 12.62 Bn |
| Mar 31, 2019 | 13.97 Bn |
| Mar 31, 2018 | 12.33 Bn |
Mitsubishi Ufj Financial Receivables 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=receivables&ticker=MUFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MUFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();