Franklin Street Properties Corp /Ma/ (FSP) Change in Accrued Expenses (2009 - 2025)
Powered by 
Analysis
Franklin Street Properties Corp /Ma/ (FSP) Change in Accrued Expenses (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 6.65 Mn |
| Jun 30, 2025 | -5.01 Mn |
| Mar 31, 2025 | -5.91 Mn |
| Dec 31, 2024 | 656,000.00 |
| Sep 30, 2024 | 8.19 Mn |
| Jun 30, 2024 | -5.88 Mn |
| Mar 31, 2024 | -6.68 Mn |
| Dec 31, 2023 | -193,000.00 |
| Sep 30, 2023 | 6.23 Mn |
| Jun 30, 2023 | -5.43 Mn |
| Mar 31, 2023 | -3.32 Mn |
| Dec 31, 2022 | 405,000.00 |
| Sep 30, 2022 | 11.88 Mn |
| Jun 30, 2022 | -7.70 Mn |
| Mar 31, 2022 | -10.57 Mn |
| Dec 31, 2021 | -2.71 Mn |
| Sep 30, 2021 | 10.13 Mn |
| Jun 30, 2021 | -8.96 Mn |
| Mar 31, 2021 | -9.56 Mn |
| Dec 31, 2020 | 5.26 Mn |
API Access
Franklin Street Properties Corp /Ma/ Change in Accrued 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=change-in-accrued-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-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=change-in-accrued-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();