Netstreit (NTST) Price to Earnings (2020 - 2026)
Netstreit's Price to Earnings was 154.14 in Q2 2026, down 8.2% from the prior quarter.
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Analysis
Netstreit (NTST) Price to Earnings (2020 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Netstreit came in at 237.90.
- In earlier years, Price to Earnings was 191.13 in FY2023 (+45.8%), 131.05 in FY2022 (-60.6%) and 332.47 in FY2021 (-32.2%).
- The Q2 2026 figure marks the lowest quarterly Price to Earnings since Q3 2023.
- The best year-over-year quarter for Price to Earnings over five years was Q2 2023 (growth of 126.9%); the worst was Q2 2022 (a decline of 96.7%).
- Per Business Quant data, NTST's Price to Earnings in the three quarters before Q2 2026 was 167.93 (Q1 2026), 237.63 (Q4 2025) and 9602.76 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Netstreit | 1.78 Bn | 1.78 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.14 |
| Mar 31, 2026 | 167.93 |
| Dec 31, 2025 | 237.63 |
| Sep 30, 2025 | 9,602.76 |
| Jun 30, 2024 | 252.64 |
| Mar 31, 2024 | 209.46 |
| Dec 31, 2023 | 190.54 |
| Sep 30, 2023 | 138.90 |
| Jun 30, 2023 | 244.61 |
| Mar 31, 2023 | 145.02 |
| Dec 31, 2022 | 130.65 |
| Sep 30, 2022 | 132.70 |
| Jun 30, 2022 | 107.83 |
| Mar 31, 2022 | 250.84 |
| Dec 31, 2021 | 332.47 |
| Sep 30, 2021 | 178.74 |
| Jun 30, 2021 | 3,255.25 |
| Mar 31, 2021 | 209.20 |
| Dec 31, 2020 | 490.71 |
| Sep 30, 2020 | 202.56 |
API Access
Netstreit Price to Earnings 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=price-to-earnings&ticker=NTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();