Arbor Realty Trust (ABR-PF) Operating Expenses (2010 - 2026)
Arbor Realty Trust (ABR-PF) recorded Operating Expenses of $144.85 million in Q2 2026, up 57.6% from $91.91 million a year earlier and up 35.9% from the prior quarter.
Arbor Realty Trust (ABR-PF) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Arbor Realty Trust's Operating Expenses came in at $451.67 million as of Jun 30, 2026, up 38.0% year-over-year; for FY2025, it was $372.6 million, up 11.6% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $333.9 million in FY2024 (+5.7%), $315.83 million in FY2023 (+22.9%), $257.06 million in FY2022 (+29.8%) and $198.02 million in FY2021 (-26.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 18.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 86.3% in Q4 2022, against a decline of 8.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $106.56 million (Q1 2026), $101.8 million (Q4 2025) and $98.47 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144.85 Mn |
| Mar 31, 2026 | 106.56 Mn |
| Dec 31, 2025 | 101.80 Mn |
| Sep 30, 2025 | 98.47 Mn |
| Jun 30, 2025 | 91.91 Mn |
| Mar 31, 2025 | 80.43 Mn |
| Dec 31, 2024 | 74.02 Mn |
| Sep 30, 2024 | 81.05 Mn |
| Jun 30, 2024 | 93.56 Mn |
| Mar 31, 2024 | 85.27 Mn |
| Dec 31, 2023 | 74.64 Mn |
| Sep 30, 2023 | 76.27 Mn |
| Jun 30, 2023 | 79.20 Mn |
| Mar 31, 2023 | 85.72 Mn |
| Dec 31, 2022 | 81.33 Mn |
| Sep 30, 2022 | 57.17 Mn |
| Jun 30, 2022 | 57.78 Mn |
| Mar 31, 2022 | 60.79 Mn |
| Dec 31, 2021 | 43.66 Mn |
| Sep 30, 2021 | 48.62 Mn |
Arbor Realty Trust Operating Expenses 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=operating-expenses&ticker=ABR-PF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ABR-PF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();