Postal Realty Trust (PSTL) Buildings (2018 - 2026)
Postal Realty Trust (PSTL) recorded Buildings of $661.46 million in Q2 2026, up 19.3% from $554.64 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Buildings (2018 - 2026) Analysis & Trends
At the end of FY2025, Postal Realty Trust reported Buildings of $603.39 million, up 17.8% from FY2024.
- Annual Buildings has increased for seven straight years, with a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $512.25 million in FY2024 (+15.5%), $443.47 million in FY2023 (+17.1%), $378.6 million in FY2022 (+36.0%) and $278.4 million in FY2021 (+41.8%).
- The Q2 2026 figure is the highest quarterly Buildings in data going back to Q4 2018.
- On a year-over-year basis, Buildings has increased for 27 consecutive quarters, with growth averaging 17.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Buildings ranged from 14.8% (Q3 2024) to 77.2% (Q3 2021).
- Per Business Quant, the preceding three quarters came in at $630.91 million (Q1 2026), $603.39 million (Q4 2025) and $581.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 661.46 Mn |
| Mar 31, 2026 | 630.91 Mn |
| Dec 31, 2025 | 603.39 Mn |
| Sep 30, 2025 | 581.03 Mn |
| Jun 30, 2025 | 554.64 Mn |
| Mar 31, 2025 | 524.49 Mn |
| Dec 31, 2024 | 512.25 Mn |
| Sep 30, 2024 | 489.16 Mn |
| Jun 30, 2024 | 479.23 Mn |
| Mar 31, 2024 | 456.27 Mn |
| Dec 31, 2023 | 443.47 Mn |
| Sep 30, 2023 | 426.23 Mn |
| Jun 30, 2023 | 405.93 Mn |
| Mar 31, 2023 | 393.14 Mn |
| Dec 31, 2022 | 378.60 Mn |
| Sep 30, 2022 | 362.59 Mn |
| Jun 30, 2022 | 343.93 Mn |
| Mar 31, 2022 | 301.02 Mn |
| Dec 31, 2021 | 278.40 Mn |
| Sep 30, 2021 | 256.56 Mn |
API Access
Postal Realty Trust Buildings 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=buildings&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();