Postal Realty Trust (PSTL) Enterprise Value (2019 - 2026)
Postal Realty Trust's Enterprise Value was $826.17 million in Q2 2026, up 90.0% from $434.74 million a year earlier and up 40.1% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Enterprise Value (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Postal Realty Trust's Enterprise Value was $821.56 million through Jun 30, 2026, up 90.5% year-over-year; for FY2025, it came in at $516.23 million, up 38.8% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $371.83 million in FY2024 (-3.1%), $383.6 million in FY2023 (+13.2%), $338.98 million in FY2022 (-16.9%) and $407.69 million in FY2021 (+18.2%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value in data going back to Q2 2019.
- Compared with a year earlier, Enterprise Value has increased for six straight quarters, with growth averaging 28.7% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q2 2026 (growth of 90.0%); the worst was Q1 2022 (a decline of 26.2%).
- Per Business Quant data, PSTL's Enterprise Value in the three quarters before Q2 2026 was $589.73 million (Q1 2026), $516.23 million (Q4 2025) and $481.57 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 | 826.17 Mn |
| Mar 31, 2026 | 589.73 Mn |
| Dec 31, 2025 | 516.23 Mn |
| Sep 30, 2025 | 481.57 Mn |
| Jun 30, 2025 | 434.74 Mn |
| Mar 31, 2025 | 408.73 Mn |
| Dec 31, 2024 | 371.83 Mn |
| Sep 30, 2024 | 405.80 Mn |
| Jun 30, 2024 | 369.34 Mn |
| Mar 31, 2024 | 387.82 Mn |
| Dec 31, 2023 | 383.60 Mn |
| Sep 30, 2023 | 345.13 Mn |
| Jun 30, 2023 | 357.01 Mn |
| Mar 31, 2023 | 356.25 Mn |
| Dec 31, 2022 | 338.98 Mn |
| Sep 30, 2022 | 328.32 Mn |
| Jun 30, 2022 | 325.18 Mn |
| Mar 31, 2022 | 358.03 Mn |
| Dec 31, 2021 | 407.69 Mn |
| Sep 30, 2021 | 292.22 Mn |
API Access
Postal Realty Trust Enterprise Value 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=enterprise-value&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();