Nexpoint Diversified Real Estate Trust (NXDT) Selling, General & Administrative (2022 - 2026)
Nexpoint Diversified Real Estate Trust (NXDT) recorded Selling, General & Administrative of $1.47 million in Q2 2026, down 9.2% from $1.62 million a year earlier and down 12.2% from the prior quarter.
Nexpoint Diversified Real Estate Trust (NXDT) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a TTM basis, Nexpoint Diversified Real Estate Trust's Selling, General & Administrative came in at $6.24 million as of Jun 30, 2026, down 30.0% year-over-year; for FY2025, it came in at $6.71 million, down 9.4% from FY2024.
- Annual Selling, General & Administrative has a three-year compound annual growth rate of 25.6% (FY2022 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $7.41 million in FY2024 (+74.2%), $4.25 million in FY2023 (+25.7%) and $3.38 million in FY2022.
- Quarterly Selling, General & Administrative has ranged from -$3.78 million in Q4 2023 to $3.28 million in Q2 2023 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has declined for five consecutive quarters, with growth averaging 7.9% over the last seven quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 198.5% in Q1 2025, against a decline of 70.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.67 million (Q1 2026), $1.79 million (Q4 2025) and $1.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 44.37 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.64 Mn |
| 10 | Nexpoint Diversified Real Estate Trust | 281.99 Mn | 289.25 Mn | - | 1.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Mn |
| Mar 31, 2026 | 1.67 Mn |
| Dec 31, 2025 | 1.79 Mn |
| Sep 30, 2025 | 1.31 Mn |
| Jun 30, 2025 | 1.62 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 2.46 Mn |
| Sep 30, 2024 | 2.84 Mn |
| Jun 30, 2024 | 3.20 Mn |
| Mar 31, 2024 | 667,000.00 |
| Dec 31, 2023 | -3.78 Mn |
| Sep 30, 2023 | 2.52 Mn |
| Jun 30, 2023 | 3.28 Mn |
| Mar 31, 2023 | 2.24 Mn |
| Sep 30, 2022 | 2.80 Mn |
Nexpoint Diversified Real Estate Trust Selling, General & Administrative 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=selling-general-and-administrative&ticker=NXDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NXDT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NXDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();