Franklin Street Properties Corp /Ma/ (FSP) Buildings and Improvements (2009 - 2025)
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Analysis
Franklin Street Properties Corp /Ma/ (FSP) Buildings and Improvements (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.09 Bn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.09 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.13 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.36 Bn |
| Mar 31, 2023 | 1.37 Bn |
| Dec 31, 2022 | 1.39 Bn |
| Sep 30, 2022 | 1.40 Bn |
| Jun 30, 2022 | 1.48 Bn |
| Mar 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | 1.46 Bn |
| Sep 30, 2021 | 1.63 Bn |
| Jun 30, 2021 | 1.73 Bn |
| Mar 31, 2021 | 1.95 Bn |
API Access
Franklin Street Properties Corp /Ma/ Buildings and Improvements 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=buildings-and-improvements&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings-and-improvements", "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=buildings-and-improvements&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();