Arbor Realty Trust (ABR-PF) Provision for Losses (2010 - 2017)
Arbor Realty Trust (ABR-PF) recorded Provision for Losses of -$695,653 in Q1 2017, compared with -$15,000 a year earlier.
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Analysis
Arbor Realty Trust (ABR-PF) Provision for Losses (2010 - 2017) Analysis & Trends
On a TTM basis, Arbor Realty Trust's Provision for Losses came in at -$883,754 as of Mar 31, 2017; for FY2016, it came in at -$134,101.
- Across earlier years, Provision for Losses came in at $6.51 million in FY2015 (-27.9%), $9.03 million in FY2014 (+38.9%), $6.5 million in FY2013 (-72.7%) and $23.83 million in FY2012 (-38.2%).
- The Q1 2017 figure is the lowest quarterly Provision for Losses in data going back to Q2 2010.
- On a year-over-year basis, Provision for Losses rose in 1 of the last four quarters, with an average decline of 12.9%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 380.7% in Q2 2014, against a decline of 94.7% in Q2 2016 at the low end.
- Per Business Quant, the preceding three quarters came in at -$193,106 (Q4 2016), -$54,000 (Q3 2016) and $59,005 (Q2 2016).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | -695,653.00 |
| Dec 31, 2016 | -193,106.00 |
| Sep 30, 2016 | -54,000.00 |
| Jun 30, 2016 | 59,005.00 |
| Mar 31, 2016 | -15,000.00 |
| Dec 31, 2015 | 3.42 Mn |
| Sep 30, 2015 | 982,453.00 |
| Jun 30, 2015 | 1.11 Mn |
| Mar 31, 2015 | 1.00 Mn |
| Dec 31, 2014 | 1.22 Mn |
| Sep 30, 2014 | 2.86 Mn |
| Jun 30, 2014 | 3.95 Mn |
| Mar 31, 2014 | 1.00 Mn |
| Dec 31, 2013 | 1.00 Mn |
| Sep 30, 2013 | 1.50 Mn |
| Jun 30, 2013 | 821,722.00 |
| Mar 31, 2013 | 2.50 Mn |
| Dec 31, 2012 | 3.24 Mn |
| Sep 30, 2012 | 4.85 Mn |
| Jun 30, 2012 | 7.95 Mn |
API Access
Arbor Realty Trust Provision for Losses 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=provision-for-losses&ticker=ABR-PF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=ABR-PF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();