Postal Realty Trust (PSTL) FCF Margin (2018 - 2026)
Postal Realty Trust (PSTL) posted FCF Margin of 46.09% for Q2 2026, up 7.30 percentage points from 38.79% a year earlier and up 9.15 percentage points from the prior quarter.
Postal Realty Trust (PSTL) FCF Margin (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, FCF Margin at Postal Realty Trust was 39.19%, down 1.51 percentage points year-over-year; for FY2025, it came in at 39.21%, down 1.03 percentage points from FY2024.
- Annual FCF Margin shows a five-year change of +4.73 percentage points (FY2020 to FY2025).
- In prior years, Postal Realty Trust's FCF Margin was 40.23% in FY2024 (+0.12 pp), 40.12% in FY2023 (+0.92 pp), 39.20% in FY2022 (+1.15 pp) and 38.05% in FY2021 (+3.57 pp).
- The Q2 2026 figure stands as the highest quarterly FCF Margin since Q2 2024.
- On a year-over-year basis, FCF Margin increased in four of the last eight quarters, with an average year-over-year change of +0.13 percentage points.
- The strongest year-over-year quarter for FCF Margin in the past five years was Q1 2025, with a gain of 12.30 percentage points; the weakest was Q4 2021, with a drop of 15.45 percentage points.
- According to Business Quant data, FCF Margin for the three prior quarters was 36.94% (Q1 2026), 36.82% (Q4 2025) and 36.09% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 19.31% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 52.96% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 70.29% |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 65.90% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 26.29% |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 63.45% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 66.74% |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - | 46.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.09% |
| Mar 31, 2026 | 36.94% |
| Dec 31, 2025 | 36.82% |
| Sep 30, 2025 | 36.09% |
| Jun 30, 2025 | 38.79% |
| Mar 31, 2025 | 45.86% |
| Dec 31, 2024 | 40.35% |
| Sep 30, 2024 | 37.57% |
| Jun 30, 2024 | 49.40% |
| Mar 31, 2024 | 33.56% |
| Dec 31, 2023 | 37.23% |
| Sep 30, 2023 | 34.71% |
| Jun 30, 2023 | 40.87% |
| Mar 31, 2023 | 48.34% |
| Dec 31, 2022 | 35.33% |
| Sep 30, 2022 | 31.68% |
| Jun 30, 2022 | 43.28% |
| Mar 31, 2022 | 48.35% |
| Dec 31, 2021 | 25.30% |
| Sep 30, 2021 | 45.28% |
Postal Realty Trust FCF Margin 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=fcf-margin&ticker=PSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();