Postal Realty Trust (PSTL) Shares Outstanding (Diluted) (2020 - 2026)
Postal Realty Trust (PSTL) posted Shares Outstanding (Diluted) of 27.73 million for Q2 2026, up 18.0% from 23.51 million a year earlier and up 1.5% from the prior quarter.
Powered by 
Analysis
Postal Realty Trust (PSTL) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Postal Realty Trust's Shares Outstanding (Diluted) came in at 24.35 million, up 7.9% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 28.3% (FY2020 to FY2025).
- In prior years, Postal Realty Trust's Shares Outstanding (Diluted) was 22.57 million in FY2024 (+12.0%), 20.15 million in FY2023 (+8.6%), 18.55 million in FY2022 (+35.5%) and 13.69 million in FY2021 (+95.2%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 21 quarters, with growth averaging 10.8% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 5.0% (Q1 2023) and 95.2% (Q4 2021) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 27.31 million (Q1 2026), 24.35 million (Q4 2025) and 24.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 737.96 Mn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 957.88 Mn |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 324.96 Mn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 934.66 Mn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 176.51 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 497.72 Mn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 220.36 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 383.88 Mn |
| 10 | Postal Realty Trust | 681.81 Mn | 764.48 Mn | - | 27.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.73 Mn |
| Mar 31, 2026 | 27.31 Mn |
| Dec 31, 2025 | 24.35 Mn |
| Sep 30, 2025 | 24.63 Mn |
| Jun 30, 2025 | 23.51 Mn |
| Mar 31, 2025 | 23.22 Mn |
| Dec 31, 2024 | 22.57 Mn |
| Sep 30, 2024 | 22.74 Mn |
| Jun 30, 2024 | 22.34 Mn |
| Mar 31, 2024 | 22.05 Mn |
| Dec 31, 2023 | 20.15 Mn |
| Sep 30, 2023 | 20.28 Mn |
| Jun 30, 2023 | 19.54 Mn |
| Mar 31, 2023 | 19.29 Mn |
| Dec 31, 2022 | 18.55 Mn |
| Sep 30, 2022 | 18.55 Mn |
| Jun 30, 2022 | 18.40 Mn |
| Mar 31, 2022 | 18.37 Mn |
| Dec 31, 2021 | 13.69 Mn |
| Sep 30, 2021 | 13.41 Mn |
API Access
Postal Realty Trust Shares Outstanding (Diluted) 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-diluted&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();