Postal Realty Trust (PSTL) Assets (2018 - 2026)
Postal Realty Trust (PSTL) posted Assets of $836.57 million for Q2 2026, up 21.3% from $689.82 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Postal Realty Trust's Assets came in at $759.06 million, up 17.4% from FY2024.
- Annual Assets has increased for seven consecutive years, with a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In prior years, Postal Realty Trust's Assets was $646.82 million in FY2024 (+14.0%), $567.35 million in FY2023 (+13.2%), $501.3 million in FY2022 (+32.7%) and $377.72 million in FY2021 (+45.9%).
- The Q2 2026 figure stands as the highest quarterly Assets in data going back to Q4 2018.
- On a year-over-year basis, Assets has increased in each of the last 27 quarters, with growth averaging 16.2% over the last eight quarters.
- The year-over-year growth in Assets has ranged between 11.1% (Q3 2024) and 66.1% (Q3 2021) over the last five years.
- According to Business Quant data, Assets for the three prior quarters was $792.54 million (Q1 2026), $759.06 million (Q4 2025) and $735.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 69.88 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 101.01 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 40.61 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 76.44 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 20.12 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 29.66 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 29.66 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 48.27 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 20.28 Bn |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - | 836.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 836.57 Mn |
| Mar 31, 2026 | 792.54 Mn |
| Dec 31, 2025 | 759.06 Mn |
| Sep 30, 2025 | 735.19 Mn |
| Jun 30, 2025 | 689.82 Mn |
| Mar 31, 2025 | 654.02 Mn |
| Dec 31, 2024 | 646.82 Mn |
| Sep 30, 2024 | 615.06 Mn |
| Jun 30, 2024 | 608.17 Mn |
| Mar 31, 2024 | 584.09 Mn |
| Dec 31, 2023 | 567.35 Mn |
| Sep 30, 2023 | 553.70 Mn |
| Jun 30, 2023 | 527.15 Mn |
| Mar 31, 2023 | 510.87 Mn |
| Dec 31, 2022 | 501.30 Mn |
| Sep 30, 2022 | 486.32 Mn |
| Jun 30, 2022 | 462.13 Mn |
| Mar 31, 2022 | 407.42 Mn |
| Dec 31, 2021 | 377.72 Mn |
| Sep 30, 2021 | 331.57 Mn |
API Access
Postal Realty Trust Assets 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=assets&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();