Arbor Realty Trust Inc (ABR-PF) Loans (2016 - 2023)
Arbor Realty Trust (ABR-PF) posted Loans of $468.74 million for Q1 2023, up 40.9% from $332.57 million a year earlier and up 27.4% from the prior quarter.
Arbor Realty Trust Inc (ABR-PF) Loans (2016 - 2023) Analysis & Trends
At the end of FY2022, Arbor Realty Trust's Loans came in at $368.07 million, down 65.8% from FY2021.
- Annual Loans shows a five-year compound annual growth rate of 4.7% (FY2017 to FY2022).
- In prior years, Arbor Realty Trust's Loans was $1.08 billion in FY2021 (+11.2%), $968.6 million in FY2020 (+14.3%), $847.13 million in FY2019 (+79.1%) and $472.96 million in FY2018 (+61.8%).
- Quarterly Loans has run from a low of $222.92 million in Q1 2019 to a high of $1.26 billion in Q3 2021 over five years.
- On a year-over-year basis, Loans increased in five of the last eight quarters, with growth averaging 4.1%.
- The strongest year-over-year quarter for Loans in the past five years was Q1 2020, with growth of 339.0%; the weakest was Q4 2022, with a decline of 65.8%.
- According to Business Quant data, Loans for the three prior quarters was $368.07 million (Q4 2022), $552.31 million (Q3 2022) and $519.12 million (Q2 2022).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 468.74 Mn |
| Dec 31, 2022 | 368.07 Mn |
| Sep 30, 2022 | 552.31 Mn |
| Jun 30, 2022 | 519.12 Mn |
| Mar 31, 2022 | 332.57 Mn |
| Dec 31, 2021 | 1.08 Bn |
| Sep 30, 2021 | 1.26 Bn |
| Jun 30, 2021 | 448.94 Mn |
| Mar 31, 2021 | 602.33 Mn |
| Dec 31, 2020 | 968.60 Mn |
| Sep 30, 2020 | 617.92 Mn |
| Jun 30, 2020 | 349.86 Mn |
| Mar 31, 2020 | 978.74 Mn |
| Dec 31, 2019 | 847.13 Mn |
| Sep 30, 2019 | 529.72 Mn |
| Jun 30, 2019 | 597.29 Mn |
| Mar 31, 2019 | 222.92 Mn |
| Dec 31, 2018 | 472.96 Mn |
| Sep 30, 2018 | 492.97 Mn |
| Jun 30, 2018 | 308.13 Mn |
Arbor Realty Trust Inc Loans 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=loans&ticker=ABR-PF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans", "ticker": "ABR-PF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=loans&ticker=ABR-PF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();