Franklin Street Properties (FSP) Interest Expenses (2009 - 2025)
Franklin Street Properties (FSP) recorded Interest Expenses of $6.35 million in Q3 2025, down 3.6% from $6.59 million a year earlier but up 0.1% from the prior quarter.
Franklin Street Properties (FSP) Interest Expenses (2009 - 2025) Analysis & Trends
On a TTM basis, Franklin Street Properties' Interest Expenses came in at $24.29 million as of Sep 30, 2025, down 9.1% year-over-year; for FY2024, it came in at $26.42 million, up 8.7% from FY2023.
- Annual Interest Expenses has a five-year compound annual growth rate of -6.4% (FY2019 to FY2024).
- Across earlier years, Interest Expenses came in at $24.32 million in FY2023 (+6.6%), $22.81 million in FY2022 (-29.3%), $32.27 million in FY2021 (-10.4%) and $36.03 million in FY2020 (-2.0%).
- Quarterly Interest Expenses has ranged from $5.37 million in Q1 2022 to $10.05 million in Q2 2021 over the past five years.
- On a year-over-year basis, Interest Expenses has declined for four consecutive quarters, with growth averaging 1.8% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 17.9% in Q1 2024, against a decline of 43.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.34 million (Q2 2025), $5.69 million (Q1 2025) and $5.91 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 276.31 Mn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 272.33 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 312.08 Mn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 84.78 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 82.46 Mn |
| 10 | Franklin Street Properties | 37.33 Mn | -86.89 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 6.35 Mn |
| Jun 30, 2025 | 6.34 Mn |
| Mar 31, 2025 | 5.69 Mn |
| Dec 31, 2024 | 5.91 Mn |
| Sep 30, 2024 | 6.59 Mn |
| Jun 30, 2024 | 7.08 Mn |
| Mar 31, 2024 | 6.85 Mn |
| Dec 31, 2023 | 6.22 Mn |
| Sep 30, 2023 | 6.21 Mn |
| Jun 30, 2023 | 6.08 Mn |
| Mar 31, 2023 | 5.81 Mn |
| Dec 31, 2022 | 5.67 Mn |
| Sep 30, 2022 | 6.11 Mn |
| Jun 30, 2022 | 5.66 Mn |
| Mar 31, 2022 | 5.37 Mn |
| Dec 31, 2021 | 5.69 Mn |
| Sep 30, 2021 | 7.93 Mn |
| Jun 30, 2021 | 10.05 Mn |
| Mar 31, 2021 | 8.60 Mn |
| Dec 31, 2020 | 9.03 Mn |
Franklin Street Properties Interest 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=interest-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();