Franklin Street Properties (FSP) Cost of Revenue (2017 - 2025)
Franklin Street Properties' Cost of Revenue came in at $10.67 million for Q3 2025, down 7.8% from $11.57 million a year earlier and down 0.3% from the prior quarter.
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Analysis
Franklin Street Properties (FSP) Cost of Revenue (2017 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Franklin Street Properties reported Cost of Revenue of $42.89 million, down 8.2% year-over-year; for FY2024, it was $45.04 million, down 11.2% from FY2023.
- Cost of Revenue has declined in each of the last five years, with a five-year compound annual growth rate of -9.0% (FY2019 to FY2024).
- Going back by year, Cost of Revenue was $50.73 million in FY2023 (-4.0%), $52.82 million in FY2022 (-13.2%), $60.88 million in FY2021 (-9.1%) and $66.94 million in FY2020 (-7.4%).
- The five-year range for quarterly Cost of Revenue is $10.1 million (Q1 2025) to $17.44 million (Q4 2020).
- Year-over-year, Cost of Revenue has declined for 23 consecutive quarters, with an average decline of 9.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Cost of Revenue ranged from 0.8% (Q2 2021) to 19.6% (Q2 2022).
- Business Quant data shows FSP's Cost of Revenue at $10.7 million (Q2 2025), $10.1 million (Q1 2025) and $11.42 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 2.15 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 231.72 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 7.40 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Franklin Street Properties | 35.25 Mn | -88.97 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 10.67 Mn |
| Jun 30, 2025 | 10.70 Mn |
| Mar 31, 2025 | 10.10 Mn |
| Dec 31, 2024 | 11.42 Mn |
| Sep 30, 2024 | 11.57 Mn |
| Jun 30, 2024 | 11.03 Mn |
| Mar 31, 2024 | 11.02 Mn |
| Dec 31, 2023 | 13.11 Mn |
| Sep 30, 2023 | 12.80 Mn |
| Jun 30, 2023 | 12.14 Mn |
| Mar 31, 2023 | 12.69 Mn |
| Dec 31, 2022 | 14.27 Mn |
| Sep 30, 2022 | 13.37 Mn |
| Jun 30, 2022 | 12.34 Mn |
| Mar 31, 2022 | 12.83 Mn |
| Dec 31, 2021 | 15.22 Mn |
| Sep 30, 2021 | 14.37 Mn |
| Jun 30, 2021 | 15.35 Mn |
| Mar 31, 2021 | 15.94 Mn |
| Dec 31, 2020 | 17.44 Mn |
API Access
Franklin Street Properties Cost of Revenue 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=cost-of-revenue&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();