Franklin Street Properties (FSP) Total Non-Current Liabilities (2009 - 2025)
Franklin Street Properties (FSP) posted Total Non-Current Liabilities of $279.71 million for Q4 2025, down 1.8% from $284.84 million a year earlier but up 0.1% from the prior quarter.
Franklin Street Properties (FSP) Total Non-Current Liabilities (2009 - 2025) Analysis & Trends
Since Q4 2009, Franklin Street Properties has reported Total Non-Current Liabilities for 62 quarters.
- Annual Total Non-Current Liabilities has declined for nine consecutive years, with a five-year compound annual growth rate of -22.6% (FY2020 to FY2025).
- In prior years, Franklin Street Properties' Total Non-Current Liabilities was $284.84 million in FY2024 (-36.7%), $450.32 million in FY2023 (-3.6%), $467.22 million in FY2022 (-18.7%) and $574.75 million in FY2021 (-43.0%).
- Quarterly Total Non-Current Liabilities has run from a low of $272.25 million in Q2 2025 to a high of $1.02 billion in Q1 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 18 quarters, with an average decline of 19.9% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Non-Current Liabilities ranged from 1.8% (Q4 2025) to 45.0% (Q1 2022).
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $279.44 million (Q3 2025), $272.25 million (Q2 2025) and $276.82 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 38.97 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 33.12 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 33.49 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | - |
| 6 | Ventas | 44.65 Bn | 43.84 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 | 17.65 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 9.30 Bn |
| 10 | Franklin Street Properties | 35.25 Mn | -88.97 Mn | - | 279.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 279.71 Mn |
| Sep 30, 2025 | 279.44 Mn |
| Jun 30, 2025 | 272.25 Mn |
| Mar 31, 2025 | 276.82 Mn |
| Dec 31, 2024 | 284.84 Mn |
| Sep 30, 2024 | 309.97 Mn |
| Jun 30, 2024 | 324.20 Mn |
| Mar 31, 2024 | 328.83 Mn |
| Dec 31, 2023 | 450.32 Mn |
| Sep 30, 2023 | 434.82 Mn |
| Jun 30, 2023 | 434.55 Mn |
| Mar 31, 2023 | 438.65 Mn |
| Dec 31, 2022 | 467.22 Mn |
| Sep 30, 2022 | 483.78 Mn |
| Jun 30, 2022 | 571.87 Mn |
| Mar 31, 2022 | 561.40 Mn |
| Dec 31, 2021 | 574.75 Mn |
| Sep 30, 2021 | 743.87 Mn |
| Jun 30, 2021 | 824.51 Mn |
| Mar 31, 2021 | 1.02 Bn |
Franklin Street Properties Total Non-Current 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-non-current-liabilities&ticker=FSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();