Federal Realty Investment Trust (FRT) Shares Outstanding (Entity) (2009 - 2026)
Federal Realty Investment Trust (FRT) posted Shares Outstanding (Entity) of 86.3 million for Q3 2026, unchanged from 86.27 million a year earlier and down 0.7% from the prior quarter.
Federal Realty Investment Trust (FRT) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Federal Realty Investment Trust's Shares Outstanding (Entity) came in at 86.27 million, up 0.7% from FY2024.
- Annual Shares Outstanding (Entity) has increased for 16 consecutive years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In prior years, Federal Realty Investment Trust's Shares Outstanding (Entity) was 85.67 million in FY2024 (+3.5%), 82.78 million in FY2023 (+1.8%), 81.34 million in FY2022 (+3.5%) and 78.6 million in FY2021 (+2.4%).
- Quarterly Shares Outstanding (Entity) has run from a low of 78.6 million in Q4 2021 to a high of 86.88 million in Q2 2026 over five years.
- On a year-over-year basis, Shares Outstanding (Entity) increased in seven of the last eight quarters, with growth averaging 1.7%.
- The year-over-year growth in Shares Outstanding (Entity) has ranged between 0.0% (Q3 2026) and 4.4% (Q3 2022) over the last five years.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 86.88 million (Q2 2026), 86.39 million (Q1 2026) and 86.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn | 733.61 Mn |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - | 950.51 Mn |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - | 343.06 Mn |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - | 186.84 Mn |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - | 950.96 Mn |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - | 528.82 Mn |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn | 1.10 Bn |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - | 374.89 Mn |
| 10 | Federal Realty Investment Trust | 9.84 Bn | 9.40 Bn | - | 86.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.30 Mn |
| Jun 30, 2026 | 86.88 Mn |
| Mar 31, 2026 | 86.39 Mn |
| Dec 31, 2025 | 86.27 Mn |
| Sep 30, 2025 | 86.27 Mn |
| Jun 30, 2025 | 86.26 Mn |
| Mar 31, 2025 | 86.26 Mn |
| Dec 31, 2024 | 85.67 Mn |
| Sep 30, 2024 | 84.95 Mn |
| Jun 30, 2024 | 83.59 Mn |
| Mar 31, 2024 | 82.95 Mn |
| Dec 31, 2023 | 82.78 Mn |
| Sep 30, 2023 | 81.62 Mn |
| Jun 30, 2023 | 81.52 Mn |
| Mar 31, 2023 | 81.51 Mn |
| Dec 31, 2022 | 81.34 Mn |
| Sep 30, 2022 | 81.20 Mn |
| Jun 30, 2022 | 80.90 Mn |
| Mar 31, 2022 | 79.42 Mn |
| Dec 31, 2021 | 78.60 Mn |
Federal Realty Investment 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=FRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "FRT", "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=FRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();