Postal Realty Trust (PSTL) Acquisitions (2018 - 2026)
Postal Realty Trust (PSTL) recorded Acquisitions of $45.1 million in Q2 2026, up 25.6% from $35.9 million a year earlier and up 30.2% from the prior quarter.
Powered by 
Analysis
Postal Realty Trust (PSTL) Acquisitions (2018 - 2026) Analysis & Trends
On a TTM basis, Postal Realty Trust's Acquisitions came in at $151.14 million as of Jun 30, 2026, up 50.0% year-over-year; for FY2025, it was $123.1 million, up 35.6% from FY2024.
- Annual Acquisitions has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Across earlier years, Acquisitions came in at $90.8 million in FY2024 (+29.3%), $70.22 million in FY2023 (-39.6%), $116.21 million in FY2022 (+29.9%) and $89.46 million in FY2021 (-27.9%).
- The Q2 2026 figure is the highest quarterly Acquisitions since Q2 2022.
- On a year-over-year basis, Acquisitions rose in six of the last eight quarters, with growth averaging 63.6%.
- Peak year-over-year performance for Acquisitions in the last five years was growth of 231.1% in Q3 2025, against a decline of 71.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.64 million (Q1 2026), $33.54 million (Q4 2025) and $37.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 | - | 16.22 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.90 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 222.45 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.48 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 158.83 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 | - | 45.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.10 Mn |
| Mar 31, 2026 | 34.64 Mn |
| Dec 31, 2025 | 33.54 Mn |
| Sep 30, 2025 | 37.86 Mn |
| Jun 30, 2025 | 35.90 Mn |
| Mar 31, 2025 | 15.80 Mn |
| Dec 31, 2024 | 37.59 Mn |
| Sep 30, 2024 | 11.43 Mn |
| Jun 30, 2024 | 28.81 Mn |
| Mar 31, 2024 | 12.97 Mn |
| Dec 31, 2023 | 15.31 Mn |
| Sep 30, 2023 | 22.05 Mn |
| Jun 30, 2023 | 15.47 Mn |
| Mar 31, 2023 | 17.39 Mn |
| Dec 31, 2022 | 19.79 Mn |
| Sep 30, 2022 | 16.54 Mn |
| Jun 30, 2022 | 54.42 Mn |
| Mar 31, 2022 | 25.46 Mn |
| Dec 31, 2021 | 28.72 Mn |
| Sep 30, 2021 | 13.15 Mn |
API Access
Postal Realty Trust Acquisitions 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=acquisitions&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();