Netstreit (NTST) Operating Expenses (2019 - 2026)
Netstreit's Operating Expenses was $41.57 million in Q2 2026, up 15.6% from $35.96 million a year earlier and up 10.5% from the prior quarter.
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Analysis
Netstreit (NTST) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Netstreit's Operating Expenses was $153.47 million through Jun 30, 2026, up 0.9% year-over-year; for FY2025, it came in at $144.8 million, up 0.3% from FY2024.
- Operating Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 32.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $144.34 million in FY2024 (+33.9%), $107.81 million in FY2023 (+30.2%), $82.78 million in FY2022 (+48.7%) and $55.66 million in FY2021 (+58.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q4 2024.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 15.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 78.5%); the worst was Q4 2025 (a decline of 10.6%).
- Per Business Quant data, NTST's Operating Expenses in the three quarters before Q2 2026 was $37.62 million (Q1 2026), $37.95 million (Q4 2025) and $36.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Netstreit | 1.84 Bn | 1.85 Bn | - | 41.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.57 Mn |
| Mar 31, 2026 | 37.62 Mn |
| Dec 31, 2025 | 37.95 Mn |
| Sep 30, 2025 | 36.33 Mn |
| Jun 30, 2025 | 35.96 Mn |
| Mar 31, 2025 | 34.56 Mn |
| Dec 31, 2024 | 42.44 Mn |
| Sep 30, 2024 | 39.08 Mn |
| Jun 30, 2024 | 31.68 Mn |
| Mar 31, 2024 | 31.14 Mn |
| Dec 31, 2023 | 29.92 Mn |
| Sep 30, 2023 | 26.50 Mn |
| Jun 30, 2023 | 27.49 Mn |
| Mar 31, 2023 | 23.90 Mn |
| Dec 31, 2022 | 23.06 Mn |
| Sep 30, 2022 | 20.55 Mn |
| Jun 30, 2022 | 20.90 Mn |
| Mar 31, 2022 | 18.27 Mn |
| Dec 31, 2021 | 15.67 Mn |
| Sep 30, 2021 | 13.72 Mn |
API Access
Netstreit 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=NTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();