Arbor Realty Trust (ABR) Operating Expenses (2010 - 2026)
Arbor Realty Trust's Operating Expenses came in at $144.85 million for Q2 2026, up 57.6% from $91.91 million a year earlier and up 35.9% from the prior quarter.
Powered by 
Analysis
Arbor Realty Trust (ABR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arbor Realty Trust reported Operating Expenses of $451.67 million, up 38.0% year-over-year; for FY2025, it came in at $372.6 million, up 11.6% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $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 represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 18.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 86.3%), and the weakest in Q4 2021 (a decline of 8.5%).
- Business Quant data shows ABR's Operating Expenses at $106.56 million (Q1 2026), $101.8 million (Q4 2025) and $98.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 2.50 Bn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Arbor Realty Trust | 750.26 Mn | -747.56 Mn | - | 144.85 Mn |
Historic Data
Download Data
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 |
API Access
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&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ABR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();