Postal Realty Trust (PSTL) Return on Sales [ROS] (2018 - 2026)
Postal Realty Trust (PSTL) recorded Return on Sales [ROS] of 39.49% in Q2 2026, up 2.19 percentage points from 37.30% a year earlier and up 4.82 percentage points from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a TTM basis, Postal Realty Trust's Return on Sales [ROS] came in at 37.77% as of Jun 30, 2026, up 4.24 percentage points year-over-year; for FY2025, it was 35.83%, up 8.11 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for six straight years, with a five-year change of +27.52 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 27.73% in FY2024 (+5.76 pp), 21.97% in FY2023 (+3.78 pp), 18.19% in FY2022 (+3.37 pp) and 14.82% in FY2021 (+6.51 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +7.92 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 19.72 percentage points in Q4 2024, against a drop of 4.00 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 34.67% (Q1 2026), 39.23% (Q4 2025) and 37.61% (Q3 2025).
Peer Set
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 | Postal Realty Trust | 686.04 Mn | 768.72 Mn | - | 39.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.49% |
| Mar 31, 2026 | 34.67% |
| Dec 31, 2025 | 39.23% |
| Sep 30, 2025 | 37.61% |
| Jun 30, 2025 | 37.30% |
| Mar 31, 2025 | 28.36% |
| Dec 31, 2024 | 43.24% |
| Sep 30, 2024 | 24.35% |
| Jun 30, 2024 | 22.76% |
| Mar 31, 2024 | 17.58% |
| Dec 31, 2023 | 23.52% |
| Sep 30, 2023 | 23.77% |
| Jun 30, 2023 | 23.44% |
| Mar 31, 2023 | 16.80% |
| Dec 31, 2022 | 23.24% |
| Sep 30, 2022 | 21.17% |
| Jun 30, 2022 | 17.77% |
| Mar 31, 2022 | 8.88% |
| Dec 31, 2021 | 15.37% |
| Sep 30, 2021 | 15.03% |
API Access
Postal Realty Trust 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=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PSTL", "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=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();