First Us Bancshares (FUSB) Mortgage Banking (2017 - 2019)
First Us Bancshares' Mortgage Banking came in at $103,000 for Q1 2019, down 12.0% from $117,000 a year earlier and down 12.7% from the prior quarter.
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Analysis
First Us Bancshares (FUSB) Mortgage Banking (2017 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, First Us Bancshares reported Mortgage Banking of $493,000, up 50.3% year-over-year; for FY2018, it was $507,000, up 140.3% from FY2017.
- Going back by year, Mortgage Banking was $211,000 in FY2017.
- The Q1 2019 figure represents the lowest quarterly Mortgage Banking since Q4 2017.
- Year-over-year, Mortgage Banking increased in three of the last four quarters, with growth averaging 66.1%.
- Business Quant data shows FUSB's Mortgage Banking at $118,000 (Q4 2018), $128,000 (Q3 2018) and $144,000 (Q2 2018) in the three quarters before Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | First Us Bancshares | 90.86 Mn | -162.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 103,000.00 |
| Dec 31, 2018 | 118,000.00 |
| Sep 30, 2018 | 128,000.00 |
| Jun 30, 2018 | 144,000.00 |
| Mar 31, 2018 | 117,000.00 |
| Dec 31, 2017 | 64,000.00 |
| Sep 30, 2017 | 89,000.00 |
| Jun 30, 2017 | 58,000.00 |
API Access
First Us Bancshares Mortgage Banking 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=mortgage-banking&ticker=FUSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "ticker": "FUSB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=mortgage-banking&ticker=FUSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();