Netstreit (NTST) Return on Sales [ROS] (2021 - 2026)
Netstreit (NTST) posted Return on Sales [ROS] of 35.81% for Q2 2026, up 2.79 percentage points from 33.01% a year earlier and up 0.77 percentage points from the prior quarter.
Netstreit (NTST) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Netstreit was 32.45%, up 13.01 percentage points year-over-year; for FY2025, it was 29.89%, up 18.61 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +15.21 percentage points (FY2020 to FY2025).
- In prior years, Netstreit's Return on Sales [ROS] was 11.29% in FY2024 (-8.35 pp), 19.63% in FY2023 (+1.17 pp), 18.47% in FY2022 (+6.79 pp) and 11.68% in FY2021 (-3.00 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q1 2021.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last six quarters, with an average year-over-year change of +6.39 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2022, with a gain of 28.60 percentage points; the weakest was Q3 2024, with a drop of 17.76 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 35.03% (Q1 2026), 30.30% (Q4 2025) and 27.47% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 45.77% |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Netstreit | 1.78 Bn | 1.78 Bn | - | 35.81% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.81% |
| Mar 31, 2026 | 35.03% |
| Dec 31, 2025 | 30.30% |
| Sep 30, 2025 | 27.47% |
| Jun 30, 2025 | 33.01% |
| Mar 31, 2025 | 28.70% |
| Dec 31, 2024 | 7.19% |
| Sep 30, 2024 | 6.38% |
| Jun 30, 2024 | 13.42% |
| Mar 31, 2024 | 19.24% |
| Dec 31, 2023 | 20.67% |
| Sep 30, 2023 | 24.15% |
| Jun 30, 2023 | 14.85% |
| Mar 31, 2023 | 18.27% |
| Dec 31, 2022 | 23.16% |
| Sep 30, 2022 | 18.42% |
| Jun 30, 2022 | 16.02% |
| Mar 31, 2022 | 15.12% |
| Dec 31, 2021 | 17.47% |
| Sep 30, 2021 | 24.60% |
Netstreit Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();