Franklin Street Properties Corp /Ma/ (FSP) Total Revenue (2009 - 2025)
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Analysis
Franklin Street Properties Corp /Ma/ (FSP) Total Revenue (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 27.30 Mn |
| Jun 30, 2025 | 26.72 Mn |
| Mar 31, 2025 | 27.11 Mn |
| Dec 31, 2024 | 28.38 Mn |
| Sep 30, 2024 | 29.68 Mn |
| Jun 30, 2024 | 30.83 Mn |
| Mar 31, 2024 | 31.23 Mn |
| Dec 31, 2023 | 34.77 Mn |
| Sep 30, 2023 | 36.90 Mn |
| Jun 30, 2023 | 36.27 Mn |
| Mar 31, 2023 | 37.77 Mn |
| Dec 31, 2022 | 41.21 Mn |
| Sep 30, 2022 | 40.84 Mn |
| Jun 30, 2022 | 41.30 Mn |
| Mar 31, 2022 | 42.26 Mn |
| Dec 31, 2021 | 43.37 Mn |
| Sep 30, 2021 | 50.80 Mn |
| Jun 30, 2021 | 56.15 Mn |
| Mar 31, 2021 | 59.04 Mn |
| Dec 31, 2020 | 59.81 Mn |
API Access
Franklin Street Properties Corp /Ma/ Total Revenue 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=total-revenue&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-revenue", "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=total-revenue&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();