Postal Realty Trust (PSTL) Shares Outstanding (Entity) (2019 - 2026)
Postal Realty Trust's Shares Outstanding (Entity) was 30.25 million in Q2 2026, up 23.1% from 24.58 million a year earlier and up 9.5% from the prior quarter.
Postal Realty Trust (PSTL) Shares Outstanding (Entity) (2019 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Postal Realty Trust came in at 27.47 million, up 16.6% from FY2024.
- Shares Outstanding (Entity) has now increased for four consecutive years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 23.56 million in FY2024 (+4.6%), 22.51 million in FY2023 (+14.4%), 19.68 million in FY2022 (+5.9%) and 18.59 million in FY2021 (-1.8%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Entity) in data going back to Q2 2019.
- Compared with a year earlier, Shares Outstanding (Entity) has increased for 17 straight quarters, with growth averaging 11.4% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Entity) over five years was Q3 2021 (growth of 44.8%); the worst was Q1 2022 (a decline of 29.7%).
- Per Business Quant data, PSTL's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 27.62 million (Q1 2026), 27.47 million (Q4 2025) and 26.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 720.74 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.01 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 946.20 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.62 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 512.95 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 211.27 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.10 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 374.89 Mn |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - | 30.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.25 Mn |
| Mar 31, 2026 | 27.62 Mn |
| Dec 31, 2025 | 27.47 Mn |
| Sep 30, 2025 | 26.06 Mn |
| Jun 30, 2025 | 24.58 Mn |
| Mar 31, 2025 | 23.81 Mn |
| Dec 31, 2024 | 23.56 Mn |
| Sep 30, 2024 | 23.45 Mn |
| Jun 30, 2024 | 23.03 Mn |
| Mar 31, 2024 | 22.66 Mn |
| Dec 31, 2023 | 22.51 Mn |
| Sep 30, 2023 | 21.71 Mn |
| Jun 30, 2023 | 20.62 Mn |
| Mar 31, 2023 | 19.91 Mn |
| Dec 31, 2022 | 19.68 Mn |
| Sep 30, 2022 | 19.01 Mn |
| Jun 30, 2022 | 18.79 Mn |
| Mar 31, 2022 | 18.76 Mn |
| Dec 31, 2021 | 18.59 Mn |
| Sep 30, 2021 | 13.68 Mn |
Postal Realty Trust Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=PSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();