Netstreit (NTST) Real Estate - Gross (2019 - 2026)
Netstreit (NTST) reported Real Estate - Gross of $3.22 billion for Q2 2026, up 31.9% from $2.44 billion a year earlier and up 7.7% from the prior quarter.
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Analysis
Netstreit (NTST) Real Estate - Gross (2019 - 2026) Analysis & Trends
At the end of FY2025, Netstreit posted Real Estate - Gross of $2.77 billion, up 17.7% from FY2024.
- Real Estate - Gross has a five-year compound annual growth rate of 38.3% (FY2020 to FY2025).
- By year, Real Estate - Gross came in at $2.36 billion in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Real Estate - Gross in data going back to Q4 2019.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.99 billion (Q1 2026), $2.77 billion (Q4 2025) and $2.6 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 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 | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Netstreit | 1.79 Bn | 1.80 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.22 Bn |
| Mar 31, 2026 | 2.99 Bn |
| Dec 31, 2025 | 2.77 Bn |
| Sep 30, 2025 | 2.60 Bn |
| Jun 30, 2025 | 2.44 Bn |
| Dec 31, 2024 | 2.36 Bn |
| Dec 31, 2020 | 547.73 Mn |
| Sep 30, 2020 | 488.90 Mn |
| Dec 31, 2019 | 224.05 Mn |
API Access
Netstreit Real Estate - Gross 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=real-estate-gross&ticker=NTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-gross", "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=real-estate-gross&ticker=NTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();