Franklin Street Properties (FSP) Shares Outstanding (2009 - 2025)
Franklin Street Properties' Shares Outstanding was 103.69 million in Q4 2025, up 0.2% from 103.51 million a year earlier and unchanged from the prior quarter.
Franklin Street Properties (FSP) Shares Outstanding (2009 - 2025) Analysis & Trends
From Q2 2009 onward, Franklin Street Properties has reported Shares Outstanding for 67 quarters.
- Shares Outstanding shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 103.51 million in FY2024 (+0.1%), 103.36 million in FY2023 (unchanged), 103.34 million in FY2022 (-3.1%) and 106.67 million in FY2021 (-0.6%).
- Quarterly Shares Outstanding has moved between 103.19 million (Q2 2022) and 107.36 million (Q2 2021) over five years.
- Compared with a year earlier, Shares Outstanding has increased for eight straight quarters, with growth averaging 0.1% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q1 2024 (growth of 0.2%); the worst was Q2 2022 (a decline of 3.9%).
- Per Business Quant data, FSP's Shares Outstanding in the three quarters before Q4 2025 was 103.69 million (Q3 2025), 103.61 million (Q2 2025) and 103.57 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.09 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 932.31 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.56 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 210.96 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 | - | 374.18 Mn |
| 10 | Franklin Street Properties | 38.37 Mn | -85.86 Mn | - | 103.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 103.69 Mn |
| Sep 30, 2025 | 103.69 Mn |
| Jun 30, 2025 | 103.61 Mn |
| Mar 31, 2025 | 103.57 Mn |
| Dec 31, 2024 | 103.51 Mn |
| Sep 30, 2024 | 103.57 Mn |
| Jun 30, 2024 | 103.48 Mn |
| Mar 31, 2024 | 103.43 Mn |
| Dec 31, 2023 | 103.36 Mn |
| Sep 30, 2023 | 103.43 Mn |
| Jun 30, 2023 | 103.33 Mn |
| Mar 31, 2023 | 103.24 Mn |
| Dec 31, 2022 | 103.34 Mn |
| Sep 30, 2022 | 103.24 Mn |
| Jun 30, 2022 | 103.19 Mn |
| Mar 31, 2022 | 103.69 Mn |
| Dec 31, 2021 | 106.67 Mn |
| Sep 30, 2021 | 106.91 Mn |
| Jun 30, 2021 | 107.36 Mn |
| Mar 31, 2021 | 107.33 Mn |
Franklin Street Properties Shares Outstanding 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&ticker=FSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "FSP", "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&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();