Arbor Realty Trust (ABR-PF) Provision for Credit Losses (2010 - 2026)
Arbor Realty Trust's Provision for Credit Losses came in at $52.67 million for Q3 2026, up 168.3% from $19.63 million a year earlier and up 33.0% from the prior quarter.
Arbor Realty Trust (ABR-PF) Provision for Credit Losses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Arbor Realty Trust reported Provision for Credit Losses of $88.38 million, up 64.7% year-over-year; for FY2025, it came in at $35.75 million, down 47.8% from FY2024.
- Provision for Credit Losses carries a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- Going back by year, Provision for Credit Losses was $68.47 million in FY2024 (-6.9%), $73.58 million in FY2023 (+253.4%), $20.82 million in FY2022 and -$24.32 million in FY2021.
- The Q3 2026 figure represents the highest quarterly Provision for Credit Losses since Q1 2020.
- Year-over-year, Provision for Credit Losses increased in three of the last seven quarters, with growth averaging 21.9%.
- The fastest year-over-year change in Provision for Credit Losses over five years came in Q1 2023 (growth of 553.2%), and the weakest in Q1 2025 (a decline of 66.5%).
- Business Quant data shows ABR-PF's Provision for Credit Losses at $39.59 million (Q2 2026), $3.46 million (Q1 2026) and -$7.34 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 52.67 Mn |
| Jun 30, 2026 | 39.59 Mn |
| Mar 31, 2026 | 3.46 Mn |
| Dec 31, 2025 | -7.34 Mn |
| Sep 30, 2025 | 19.63 Mn |
| Jun 30, 2025 | 17.48 Mn |
| Mar 31, 2025 | 5.97 Mn |
| Dec 31, 2024 | 10.59 Mn |
| Sep 30, 2024 | 12.64 Mn |
| Jun 30, 2024 | 27.47 Mn |
| Mar 31, 2024 | 17.80 Mn |
| Dec 31, 2023 | 22.07 Mn |
| Sep 30, 2023 | 15.02 Mn |
| Jun 30, 2023 | 15.98 Mn |
| Mar 31, 2023 | 20.52 Mn |
| Dec 31, 2022 | 11.76 Mn |
| Sep 30, 2022 | 965,000.00 |
| Jun 30, 2022 | 4.95 Mn |
| Mar 31, 2022 | 3.14 Mn |
| Dec 31, 2021 | -7.52 Mn |
Arbor Realty Trust Provision for Credit 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-credit-losses&ticker=ABR-PF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=ABR-PF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();