NexPoint Residential Trust (NXRT) Land & Improvements (2014 - 2026)
NexPoint Residential Trust's Land & Improvements was $371.66 million in Q2 2026, up 3.3% from $359.82 million a year earlier and unchanged from the prior quarter.
NexPoint Residential Trust (NXRT) Land & Improvements (2014 - 2026) Analysis & Trends
From Q4 2014 onward, NexPoint Residential Trust has reported Land & Improvements for 47 quarters.
- Land & Improvements shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In earlier years, Land & Improvements was $359.82 million in FY2024 (unchanged), $359.82 million in FY2023 (-4.9%), $378.44 million in FY2022 (+0.7%) and $375.86 million in FY2021 (+16.2%).
- Quarterly Land & Improvements has moved between $352.05 million (Q3 2021) and $395.79 million (Q2 2022) over five years.
- Compared with a year earlier, Land & Improvements has increased for three straight quarters, with growth averaging 1.2% over the last eight quarters.
- The best year-over-year quarter for Land & Improvements over five years was Q1 2022 (growth of 16.2%); the worst was Q4 2023 (a decline of 4.9%).
- Per Business Quant data, NXRT's Land & Improvements in the three quarters before Q2 2026 was $371.66 million (Q1 2026), $371.66 million (Q4 2025) and $359.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | NexPoint Residential Trust | 498.73 Mn | 503.50 Mn | - | 371.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.66 Mn |
| Mar 31, 2026 | 371.66 Mn |
| Dec 31, 2025 | 371.66 Mn |
| Sep 30, 2025 | 359.82 Mn |
| Jun 30, 2025 | 359.82 Mn |
| Mar 31, 2025 | 359.82 Mn |
| Dec 31, 2024 | 359.82 Mn |
| Sep 30, 2024 | 359.82 Mn |
| Jun 30, 2024 | 359.82 Mn |
| Mar 31, 2024 | 359.82 Mn |
| Dec 31, 2023 | 359.82 Mn |
| Sep 30, 2023 | 359.84 Mn |
| Jun 30, 2023 | 378.41 Mn |
| Mar 31, 2023 | 378.42 Mn |
| Dec 31, 2022 | 378.44 Mn |
| Sep 30, 2022 | 378.44 Mn |
| Jun 30, 2022 | 395.79 Mn |
| Mar 31, 2022 | 375.86 Mn |
| Dec 31, 2021 | 375.86 Mn |
| Sep 30, 2021 | 352.05 Mn |
NexPoint Residential Trust Land & Improvements 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=land-and-improvements&ticker=NXRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=NXRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();