Franklin Street Properties Corp /Ma/ (FSP) Total Operating Expenses (2009 - 2025)
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Analysis
Franklin Street Properties Corp /Ma/ (FSP) Total Operating Expenses (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 35.87 Mn |
| Jun 30, 2025 | 35.14 Mn |
| Mar 31, 2025 | 35.46 Mn |
| Dec 31, 2024 | 36.45 Mn |
| Sep 30, 2024 | 37.86 Mn |
| Jun 30, 2024 | 38.95 Mn |
| Mar 31, 2024 | 39.59 Mn |
| Dec 31, 2023 | 40.40 Mn |
| Sep 30, 2023 | 42.79 Mn |
| Jun 30, 2023 | 43.81 Mn |
| Mar 31, 2023 | 44.01 Mn |
| Dec 31, 2022 | 45.54 Mn |
| Sep 30, 2022 | 46.81 Mn |
| Jun 30, 2022 | 49.22 Mn |
| Mar 31, 2022 | 46.37 Mn |
| Dec 31, 2021 | 47.71 Mn |
| Sep 30, 2021 | 55.11 Mn |
| Jun 30, 2021 | 60.40 Mn |
| Mar 31, 2021 | 65.43 Mn |
| Dec 31, 2020 | 64.25 Mn |
API Access
Franklin Street Properties Corp /Ma/ Total Operating Expenses 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-operating-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "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-operating-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();