Netstreit (NTST) Selling, General & Administrative (2019 - 2026)
Netstreit's Selling, General & Administrative was $5.84 million in Q2 2026, up 6.7% from $5.48 million a year earlier and up 1.5% from the prior quarter.
Netstreit (NTST) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Netstreit's Selling, General & Administrative was $22.68 million through Jun 30, 2026, up 17.0% year-over-year; for FY2025, it was $21.72 million, up 10.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $19.72 million in FY2024 (-2.3%), $20.18 million in FY2023 (+5.9%), $19.05 million in FY2022 (+28.6%) and $14.81 million in FY2021 (+30.6%).
- Quarterly Selling, General & Administrative has moved between $3.78 million (Q3 2021) and $5.95 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 5.1% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2022 (growth of 39.4%); the worst was Q3 2024 (a decline of 16.5%).
- Per Business Quant data, NTST's Selling, General & Administrative in the three quarters before Q2 2026 was $5.76 million (Q1 2026), $5.95 million (Q4 2025) and $5.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 54.30 Mn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 44.37 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 16.64 Mn |
| 10 | Netstreit | 1.77 Bn | 1.77 Bn | - | 5.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.84 Mn |
| Mar 31, 2026 | 5.76 Mn |
| Dec 31, 2025 | 5.95 Mn |
| Sep 30, 2025 | 5.13 Mn |
| Jun 30, 2025 | 5.48 Mn |
| Mar 31, 2025 | 5.17 Mn |
| Dec 31, 2024 | 4.46 Mn |
| Sep 30, 2024 | 4.29 Mn |
| Jun 30, 2024 | 5.27 Mn |
| Mar 31, 2024 | 5.71 Mn |
| Dec 31, 2023 | 4.88 Mn |
| Sep 30, 2023 | 5.13 Mn |
| Jun 30, 2023 | 5.26 Mn |
| Mar 31, 2023 | 4.91 Mn |
| Dec 31, 2022 | 5.45 Mn |
| Sep 30, 2022 | 4.55 Mn |
| Jun 30, 2022 | 4.87 Mn |
| Mar 31, 2022 | 4.19 Mn |
| Dec 31, 2021 | 3.91 Mn |
| Sep 30, 2021 | 3.78 Mn |
Netstreit 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=NTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NTST", "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=NTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();