Federal Realty Investment Trust (FRT) Shares Outstanding (Diluted) (2009 - 2026)
Federal Realty Investment Trust's Shares Outstanding (Diluted) was 86.18 million in Q2 2026, down 0.5% from 86.61 million a year earlier.
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Analysis
Federal Realty Investment Trust (FRT) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Federal Realty Investment Trust came in at 86.41 million, up 3.4% from FY2024.
- Shares Outstanding (Diluted) has now increased for 16 consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 83.57 million in FY2024 (+2.8%), 81.31 million in FY2023 (+1.0%), 80.51 million in FY2022 (+4.1%) and 77.37 million in FY2021 (+2.5%).
- Quarterly Shares Outstanding (Diluted) has moved between 77.37 million (Q4 2021) and 86.61 million (Q2 2025) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in six of the last seven quarters, with growth averaging 2.6%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2022 (growth of 5.1%); the worst was Q2 2026 (a decline of 0.5%).
Peer Set
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 | Federal Realty Investment Trust | 9.41 Bn | 9.59 Bn | - | 86.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.18 Mn |
| Dec 31, 2025 | 86.41 Mn |
| Sep 30, 2025 | 85.98 Mn |
| Jun 30, 2025 | 86.61 Mn |
| Mar 31, 2025 | 85.47 Mn |
| Dec 31, 2024 | 83.57 Mn |
| Sep 30, 2024 | 83.99 Mn |
| Jun 30, 2024 | 83.56 Mn |
| Mar 31, 2024 | 82.61 Mn |
| Dec 31, 2023 | 81.31 Mn |
| Sep 30, 2023 | 81.27 Mn |
| Jun 30, 2023 | 81.21 Mn |
| Mar 31, 2023 | 81.14 Mn |
| Dec 31, 2022 | 80.51 Mn |
| Sep 30, 2022 | 81.51 Mn |
| Jun 30, 2022 | 79.20 Mn |
| Mar 31, 2022 | 78.54 Mn |
| Dec 31, 2021 | 77.37 Mn |
| Sep 30, 2021 | 77.58 Mn |
| Jun 30, 2021 | 77.51 Mn |
API Access
Federal Realty Investment 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=FRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=FRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();