Zoned Properties (ZDPY) Shares Outstanding (Diluted) (2010 - 2026)
Zoned Properties (ZDPY) recorded Shares Outstanding (Diluted) of 13.58 million in Q2 2026, up 8.9% from 12.47 million a year earlier and up 5.9% from the prior quarter.
Zoned Properties (ZDPY) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Zoned Properties reported Shares Outstanding (Diluted) of 12.05 million, down 3.6% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 12.5 million in FY2024 (+2.6%), 12.18 million in FY2023 (-0.2%), 12.2 million in FY2022 (+0.2%) and 12.18 million in FY2021 (+1.4%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q4 2018.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in four of the last eight quarters, with growth averaging 1.5%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 8.9% in Q2 2026, against a decline of 4.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.82 million (Q1 2026), 12.05 million (Q4 2025) and 12.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.96 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 957.88 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 934.66 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 176.51 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 497.72 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 220.36 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 383.88 Mn |
| 10 | Zoned Properties | 5.54 Mn | -1.36 Mn | 28,391.00 | 13.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.58 Mn |
| Mar 31, 2026 | 12.82 Mn |
| Dec 31, 2025 | 12.05 Mn |
| Sep 30, 2025 | 12.43 Mn |
| Jun 30, 2025 | 12.47 Mn |
| Mar 31, 2025 | 12.49 Mn |
| Dec 31, 2024 | 12.50 Mn |
| Sep 30, 2024 | 12.50 Mn |
| Jun 30, 2024 | 12.10 Mn |
| Mar 31, 2024 | 12.50 Mn |
| Dec 31, 2023 | 12.18 Mn |
| Sep 30, 2023 | 12.60 Mn |
| Jun 30, 2023 | 12.60 Mn |
| Mar 31, 2023 | 12.20 Mn |
| Dec 31, 2022 | 12.20 Mn |
| Sep 30, 2022 | 12.20 Mn |
| Jun 30, 2022 | 12.20 Mn |
| Mar 31, 2022 | 12.20 Mn |
| Dec 31, 2021 | 12.18 Mn |
| Sep 30, 2021 | 12.20 Mn |
Zoned Properties 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=ZDPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ZDPY", "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=ZDPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();