Regency Centers (REG) Shares Outstanding (Diluted) (2009 - 2026)
Regency Centers (REG) reported Shares Outstanding (Diluted) of 370.54 million for Q2 2026, up 1.5% from 364.98 million a year earlier and unchanged from the prior quarter.
Regency Centers (REG) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Regency Centers posted Shares Outstanding (Diluted) of 366.77 million, down 0.1% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 367.18 million in FY2024 (+3.8%), 353.7 million in FY2023 (+2.7%), 344.33 million in FY2022 (+0.6%) and 342.15 million in FY2021 (+101.9%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 341.94 million in Q3 2021 and a high of 370.64 million in Q1 2024.
- Year over year, Shares Outstanding (Diluted) gained in five of the last eight quarters, with growth averaging 0.9%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 101.9%); the low point was Q1 2025 (a decline of 1.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 370.6 million (Q1 2026), 366.77 million (Q4 2025) and 367.84 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 | Regency Centers | 275.89 Mn | 548.13 Mn | - | 370.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 370.54 Mn |
| Mar 31, 2026 | 370.60 Mn |
| Dec 31, 2025 | 366.77 Mn |
| Sep 30, 2025 | 367.84 Mn |
| Jun 30, 2025 | 364.98 Mn |
| Mar 31, 2025 | 364.72 Mn |
| Dec 31, 2024 | 367.18 Mn |
| Sep 30, 2024 | 364.64 Mn |
| Jun 30, 2024 | 368.84 Mn |
| Mar 31, 2024 | 370.64 Mn |
| Dec 31, 2023 | 353.70 Mn |
| Sep 30, 2023 | 357.54 Mn |
| Jun 30, 2023 | 343.45 Mn |
| Mar 31, 2023 | 343.73 Mn |
| Dec 31, 2022 | 344.33 Mn |
| Sep 30, 2022 | 343.79 Mn |
| Jun 30, 2022 | 345.59 Mn |
| Mar 31, 2022 | 344.10 Mn |
| Dec 31, 2021 | 342.15 Mn |
| Sep 30, 2021 | 341.94 Mn |
Regency Centers 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=REG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "REG", "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=REG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();