NexPoint Residential Trust (NXRT) Operating Expenses (2014 - 2026)
NexPoint Residential Trust's Operating Expenses came in at $57.55 million for Q2 2026, up 4.2% from $55.25 million a year earlier and up 4.6% from the prior quarter.
NexPoint Residential Trust (NXRT) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NexPoint Residential Trust reported Operating Expenses of $224.89 million, down 0.4% year-over-year; for FY2025, it was $223.35 million, down 3.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $230.39 million in FY2024 (-0.8%), $232.27 million in FY2023 (unchanged), $232.38 million in FY2022 (+15.6%) and $201.03 million in FY2021 (+5.1%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q3 2024.
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with an average decline of 1.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 28.7%), and the weakest in Q3 2025 (a decline of 5.3%).
- Business Quant data shows NXRT's Operating Expenses at $55.03 million (Q1 2026), $56.9 million (Q4 2025) and $55.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | NexPoint Residential Trust | 498.73 Mn | 503.50 Mn | - | 57.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.55 Mn |
| Mar 31, 2026 | 55.03 Mn |
| Dec 31, 2025 | 56.90 Mn |
| Sep 30, 2025 | 55.41 Mn |
| Jun 30, 2025 | 55.25 Mn |
| Mar 31, 2025 | 55.79 Mn |
| Dec 31, 2024 | 56.13 Mn |
| Sep 30, 2024 | 58.52 Mn |
| Jun 30, 2024 | 57.44 Mn |
| Mar 31, 2024 | 58.30 Mn |
| Dec 31, 2023 | 57.18 Mn |
| Sep 30, 2023 | 59.47 Mn |
| Jun 30, 2023 | 59.52 Mn |
| Mar 31, 2023 | 56.11 Mn |
| Dec 31, 2022 | 58.61 Mn |
| Sep 30, 2022 | 57.08 Mn |
| Jun 30, 2022 | 61.57 Mn |
| Mar 31, 2022 | 55.13 Mn |
| Dec 31, 2021 | 53.84 Mn |
| Sep 30, 2021 | 50.83 Mn |
NexPoint Residential 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=NXRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NXRT", "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=NXRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();