Franklin Street Properties Corp /Ma/ (FSP) Land (2009 - 2025)
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Analysis
Franklin Street Properties Corp /Ma/ (FSP) Land (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 98.88 Mn |
| Sep 30, 2025 | 98.88 Mn |
| Jun 30, 2025 | 98.88 Mn |
| Mar 31, 2025 | 98.88 Mn |
| Dec 31, 2024 | 105.30 Mn |
| Sep 30, 2024 | 105.30 Mn |
| Jun 30, 2024 | 105.30 Mn |
| Mar 31, 2024 | 110.30 Mn |
| Dec 31, 2023 | 110.30 Mn |
| Sep 30, 2023 | 114.30 Mn |
| Jun 30, 2023 | 128.59 Mn |
| Mar 31, 2023 | 130.15 Mn |
| Dec 31, 2022 | 126.65 Mn |
| Sep 30, 2022 | 131.56 Mn |
| Jun 30, 2022 | 146.84 Mn |
| Mar 31, 2022 | 146.84 Mn |
| Dec 31, 2021 | 146.84 Mn |
| Sep 30, 2021 | 161.77 Mn |
| Jun 30, 2021 | 170.38 Mn |
| Mar 31, 2021 | 189.16 Mn |
API Access
Franklin Street Properties Corp /Ma/ Land 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=land&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land", "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=land&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();