Netstreit (NTST) Shares Outstanding (Diluted) (2019 - 2026)
Netstreit's Shares Outstanding (Diluted) was 102.79 million in Q2 2026, up 24.6% from 82.49 million a year earlier and up 3.7% from the prior quarter.
Netstreit (NTST) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Netstreit came in at 84.2 million, up 10.0% from FY2024.
- Shares Outstanding (Diluted) has now increased for five consecutive years, with a five-year compound annual growth rate of 31.8% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 76.52 million in FY2024 (+18.3%), 64.67 million in FY2023 (+28.2%), 50.43 million in FY2022 (+30.4%) and 38.67 million in FY2021 (+82.8%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2019.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 23 straight quarters, with growth averaging 15.0% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 10.0% (Q4 2025) and 119.6% (Q3 2021) over the last five years.
- Per Business Quant data, NTST's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 99.11 million (Q1 2026), 84.2 million (Q4 2025) and 85.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.96 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 957.88 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 934.66 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 176.51 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 497.72 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 220.36 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 383.88 Mn |
| 10 | Netstreit | 1.79 Bn | 1.80 Bn | - | 102.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.79 Mn |
| Mar 31, 2026 | 99.11 Mn |
| Dec 31, 2025 | 84.20 Mn |
| Sep 30, 2025 | 85.64 Mn |
| Jun 30, 2025 | 82.49 Mn |
| Mar 31, 2025 | 82.13 Mn |
| Dec 31, 2024 | 76.52 Mn |
| Sep 30, 2024 | 77.61 Mn |
| Jun 30, 2024 | 73.59 Mn |
| Mar 31, 2024 | 74.57 Mn |
| Dec 31, 2023 | 64.67 Mn |
| Sep 30, 2023 | 68.05 Mn |
| Jun 30, 2023 | 61.04 Mn |
| Mar 31, 2023 | 58.88 Mn |
| Dec 31, 2022 | 50.43 Mn |
| Sep 30, 2022 | 51.38 Mn |
| Jun 30, 2022 | 48.95 Mn |
| Mar 31, 2022 | 45.60 Mn |
| Dec 31, 2021 | 38.67 Mn |
| Sep 30, 2021 | 41.33 Mn |
Netstreit Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();