Franklin Street Properties (FSP) Non Operating Interest Expenses (2009 - 2024)
Franklin Street Properties (FSP) reported Non Operating Interest Expenses of $6.85 million for Q1 2024, up 17.9% from $5.81 million a year earlier and up 10.1% from the prior quarter.
Franklin Street Properties (FSP) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Franklin Street Properties' Non Operating Interest Expenses came in at $25.36 million, up 9.1% year-over-year; for FY2023, it came in at $24.32 million, up 6.6% from FY2022.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -8.7% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $22.81 million in FY2022 (-29.3%), $32.27 million in FY2021 (-10.4%), $36.03 million in FY2020 (-2.0%) and $36.76 million in FY2019 (-4.2%).
- The Q1 2024 figure ranks as the highest quarterly Non Operating Interest Expenses since Q3 2021.
- Year over year, Non Operating Interest Expenses has now increased in each of the last five quarters, with an average decline of 2.8% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2024 (growth of 17.9%); the low point was Q2 2022 (a decline of 43.7%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $6.22 million (Q4 2023), $6.21 million (Q3 2023) and $6.08 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Franklin Street Properties | 38.37 Mn | -85.86 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2020 | 8.95 Mn |
| Jun 30, 2020 | 8.98 Mn |
| Mar 31, 2020 | 9.06 Mn |
| Dec 31, 2019 | 8.98 Mn |
| Sep 30, 2019 | 9.04 Mn |
| Jun 30, 2019 | 9.37 Mn |
Franklin Street Properties Non Operating 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=non-operating-interest-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();