Postal Realty Trust (PSTL) Long-Term Investments (2019 - 2026)
Postal Realty Trust (PSTL) posted Long-Term Investments of $788.72 million for Q2 2026, up 20.7% from $653.22 million a year earlier and up 5.4% from the prior quarter.
Postal Realty Trust (PSTL) Long-Term Investments (2019 - 2026) Analysis & Trends
At the end of FY2025, Postal Realty Trust's Long-Term Investments came in at $716.61 million, up 18.3% from FY2024.
- Annual Long-Term Investments has increased for six consecutive years, with a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In prior years, Postal Realty Trust's Long-Term Investments was $605.98 million in FY2024 (+14.6%), $528.77 million in FY2023 (+15.0%), $459.86 million in FY2022 (+33.8%) and $343.69 million in FY2021 (+46.6%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Investments in data going back to Q4 2019.
- On a year-over-year basis, Long-Term Investments has increased in each of the last 20 quarters, with growth averaging 17.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Long-Term Investments ranged from 13.3% (Q3 2024) to 72.3% (Q3 2021).
- According to Business Quant data, Long-Term Investments for the three prior quarters was $748.16 million (Q1 2026), $716.61 million (Q4 2025) and $692.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 2.00 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 5.56 Bn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 364.79 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 323.34 Mn |
| 10 | Postal Realty Trust | 681.81 Mn | 764.48 Mn | - | 788.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 788.72 Mn |
| Mar 31, 2026 | 748.16 Mn |
| Dec 31, 2025 | 716.61 Mn |
| Sep 30, 2025 | 692.79 Mn |
| Jun 30, 2025 | 653.22 Mn |
| Mar 31, 2025 | 618.36 Mn |
| Dec 31, 2024 | 605.98 Mn |
| Sep 30, 2024 | 577.35 Mn |
| Jun 30, 2024 | 570.37 Mn |
| Mar 31, 2024 | 544.65 Mn |
| Dec 31, 2023 | 528.77 Mn |
| Sep 30, 2023 | 509.63 Mn |
| Jun 30, 2023 | 487.43 Mn |
| Mar 31, 2023 | 474.39 Mn |
| Dec 31, 2022 | 459.86 Mn |
| Sep 30, 2022 | 442.53 Mn |
| Jun 30, 2022 | 423.52 Mn |
| Mar 31, 2022 | 369.68 Mn |
| Dec 31, 2021 | 343.69 Mn |
| Sep 30, 2021 | 302.01 Mn |
Postal Realty Trust Long-Term Investments 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=long-term-investments&ticker=PSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();