NexPoint Real Estate Finance (NREF) Operating Expenses (2020 - 2026)
NexPoint Real Estate Finance (NREF) reported Operating Expenses of $10.04 million for Q2 2026, up 8.3% from $9.27 million a year earlier and up 0.4% from the prior quarter.
NexPoint Real Estate Finance (NREF) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NexPoint Real Estate Finance's Operating Expenses came in at $36.17 million, up 5.2% year-over-year; for FY2025, it was $33.69 million, down 8.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $36.64 million in FY2024 (+56.9%), $23.35 million in FY2023 (-10.8%), $26.18 million in FY2022 (+88.4%) and $13.9 million in FY2021 (+50.3%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2024.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 8.4%.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 168.6%); the low point was Q2 2023 (a decline of 47.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10 million (Q1 2026), $7.78 million (Q4 2025) and $8.35 million (Q3 2025).
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 | NexPoint Real Estate Finance | 301.00 Mn | -43.28 Mn | - | 10.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.04 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 7.78 Mn |
| Sep 30, 2025 | 8.35 Mn |
| Jun 30, 2025 | 9.27 Mn |
| Mar 31, 2025 | 8.28 Mn |
| Dec 31, 2024 | 8.98 Mn |
| Sep 30, 2024 | 7.84 Mn |
| Jun 30, 2024 | 8.79 Mn |
| Mar 31, 2024 | 11.03 Mn |
| Dec 31, 2023 | 6.40 Mn |
| Sep 30, 2023 | 6.33 Mn |
| Jun 30, 2023 | 5.10 Mn |
| Mar 31, 2023 | 5.52 Mn |
| Dec 31, 2022 | 6.79 Mn |
| Sep 30, 2022 | 6.05 Mn |
| Jun 30, 2022 | 9.71 Mn |
| Mar 31, 2022 | 3.63 Mn |
| Dec 31, 2021 | 3.56 Mn |
| Sep 30, 2021 | 3.35 Mn |
NexPoint Real Estate Finance 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=NREF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NREF", "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=NREF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();