Franklin Street Properties (FSP) Total Liabilities (2009 - 2025)
Franklin Street Properties (FSP) reported Total Liabilities of $285.91 million for Q4 2025, down 1.8% from $291.07 million a year earlier but up 0.1% from the prior quarter.
Franklin Street Properties (FSP) Total Liabilities (2009 - 2025) Analysis & Trends
Dating back to Q4 2009, Franklin Street Properties' Total Liabilities record includes 62 quarters.
- Total Liabilities has declined for nine consecutive years, with a five-year compound annual growth rate of -22.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $291.07 million in FY2024 (-36.2%), $456.53 million in FY2023 (-3.5%), $472.93 million in FY2022 (-18.6%) and $580.97 million in FY2021 (-43.3%).
- Five-year quarterly Total Liabilities spans a low of $278.54 million in Q2 2025 and a high of $1.03 billion in Q1 2021.
- Year over year, Total Liabilities has now declined in each of the last 18 quarters, with an average decline of 19.6% over the last eight quarters.
- The year-over-year decline in Total Liabilities has ranged between 1.8% (Q4 2025) and 45.1% (Q1 2022) over the last five years.
- Per Business Quant data, the three quarters before Q4 2025 came in at $285.7 million (Q3 2025), $278.54 million (Q2 2025) and $282.98 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 22.44 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 42.89 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 34.13 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 34.51 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 10.83 Bn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 14.95 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 18.67 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 9.58 Bn |
| 10 | Franklin Street Properties | 35.25 Mn | -88.97 Mn | - | 285.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 285.91 Mn |
| Sep 30, 2025 | 285.70 Mn |
| Jun 30, 2025 | 278.54 Mn |
| Mar 31, 2025 | 282.98 Mn |
| Dec 31, 2024 | 291.07 Mn |
| Sep 30, 2024 | 316.09 Mn |
| Jun 30, 2024 | 330.45 Mn |
| Mar 31, 2024 | 335.10 Mn |
| Dec 31, 2023 | 456.53 Mn |
| Sep 30, 2023 | 440.45 Mn |
| Jun 30, 2023 | 440.22 Mn |
| Mar 31, 2023 | 444.39 Mn |
| Dec 31, 2022 | 472.93 Mn |
| Sep 30, 2022 | 489.51 Mn |
| Jun 30, 2022 | 577.69 Mn |
| Mar 31, 2022 | 567.23 Mn |
| Dec 31, 2021 | 580.97 Mn |
| Sep 30, 2021 | 751.46 Mn |
| Jun 30, 2021 | 833.93 Mn |
| Mar 31, 2021 | 1.03 Bn |
Franklin Street Properties Total Liabilities 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-liabilities&ticker=FSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();