Franklin Street Properties (FSP) Operating Expenses (2009 - 2025)
Franklin Street Properties (FSP) recorded Operating Expenses of $35.87 million in Q3 2025, down 5.3% from $37.86 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Franklin Street Properties (FSP) Operating Expenses (2009 - 2025) Analysis & Trends
On a TTM basis, Franklin Street Properties' Operating Expenses came in at $142.91 million as of Sep 30, 2025, down 8.9% year-over-year; for FY2024, it came in at $152.84 million, down 10.6% from FY2023.
- Annual Operating Expenses has declined for five straight years, with a five-year compound annual growth rate of -10.2% (FY2019 to FY2024).
- Across earlier years, Operating Expenses came in at $171.01 million in FY2023 (-9.0%), $187.94 million in FY2022 (-17.8%), $228.66 million in FY2021 (-10.3%) and $254.91 million in FY2020 (-2.8%).
- Quarterly Operating Expenses has ranged from $35.14 million in Q2 2025 to $65.43 million in Q1 2021 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for 18 consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 2.3% in Q1 2021, against a decline of 29.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.14 million (Q2 2025), $35.46 million (Q1 2025) and $36.45 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Franklin Street Properties | 35.25 Mn | -88.97 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 35.87 Mn |
| Jun 30, 2025 | 35.14 Mn |
| Mar 31, 2025 | 35.46 Mn |
| Dec 31, 2024 | 36.45 Mn |
| Sep 30, 2024 | 37.86 Mn |
| Jun 30, 2024 | 38.95 Mn |
| Mar 31, 2024 | 39.59 Mn |
| Dec 31, 2023 | 40.40 Mn |
| Sep 30, 2023 | 42.79 Mn |
| Jun 30, 2023 | 43.81 Mn |
| Mar 31, 2023 | 44.01 Mn |
| Dec 31, 2022 | 45.54 Mn |
| Sep 30, 2022 | 46.81 Mn |
| Jun 30, 2022 | 49.22 Mn |
| Mar 31, 2022 | 46.37 Mn |
| Dec 31, 2021 | 47.71 Mn |
| Sep 30, 2021 | 55.11 Mn |
| Jun 30, 2021 | 60.40 Mn |
| Mar 31, 2021 | 65.43 Mn |
| Dec 31, 2020 | 64.25 Mn |
API Access
Franklin Street Properties Operating 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=operating-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();