Arbor Realty Trust (ABR) Mortgage Banking (2016 - 2017)
Arbor Realty Trust (ABR) posted Mortgage Banking of $17.67 million for Q4 2017, up 18.6% from $14.9 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Arbor Realty Trust (ABR) Mortgage Banking (2016 - 2017) Analysis & Trends
For FY2017, Arbor Realty Trust's Mortgage Banking came in at $72.8 million, up 196.0% from FY2016.
- In prior years, Arbor Realty Trust's Mortgage Banking was $24.59 million in FY2016.
- Quarterly Mortgage Banking has run from a low of $9.69 million in Q3 2016 to a high of $19.17 million in Q1 2017 over five years.
- According to Business Quant data, Mortgage Banking for the three prior quarters was $17.13 million (Q3 2017), $18.83 million (Q2 2017) and $19.17 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Arbor Realty Trust | 731.36 Mn | -766.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 17.67 Mn |
| Sep 30, 2017 | 17.13 Mn |
| Jun 30, 2017 | 18.83 Mn |
| Mar 31, 2017 | 19.17 Mn |
| Dec 31, 2016 | 14.90 Mn |
| Sep 30, 2016 | 9.69 Mn |
API Access
Arbor Realty Trust 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=ABR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "ticker": "ABR", "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=ABR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();