Franklin Street Properties (FSP) Return on Sales [ROS] (2009 - 2025)
Franklin Street Properties (FSP) recorded Return on Sales [ROS] of 41.64% in Q3 2025, down 0.78 percentage points from 42.42% a year earlier and down 2.62 percentage points from the prior quarter.
Franklin Street Properties (FSP) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
On a TTM basis, Franklin Street Properties' Return on Sales [ROS] came in at 42.23% as of Sep 30, 2025, up 24.69 percentage points year-over-year; for FY2024, it came in at 43.57%, down 2.91 percentage points from FY2023.
- Annual Return on Sales [ROS] has a five-year change of +67.94 percentage points (FY2019 to FY2024).
- Across earlier years, Return on Sales [ROS] came in at 46.48% in FY2023 (-0.65 pp), 47.13% in FY2022 (+85.43 pp), -38.30% in FY2021 (-7.38 pp) and -30.91% in FY2020 (-6.55 pp).
- Quarterly Return on Sales [ROS] has ranged from -54.26% in Q2 2023 to 45.68% in Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of +46.16 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 99.90 percentage points in Q2 2024, against a drop of 34.19 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 44.26% (Q2 2025), 42.95% (Q1 2025) and 40.21% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 51.59% |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 43.38% |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 45.77% |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 37.85% |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | - |
| 10 | Franklin Street Properties | 38.37 Mn | -85.86 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 41.64% |
| Jun 30, 2025 | 44.26% |
| Mar 31, 2025 | 42.95% |
| Dec 31, 2024 | 40.21% |
| Sep 30, 2024 | 42.42% |
| Jun 30, 2024 | 45.64% |
| Mar 31, 2024 | 45.68% |
| Dec 31, 2023 | -53.87% |
| Sep 30, 2023 | -50.64% |
| Jun 30, 2023 | -54.26% |
| Mar 31, 2023 | -50.14% |
| Dec 31, 2022 | -45.14% |
| Sep 30, 2022 | -47.37% |
| Jun 30, 2022 | -49.05% |
| Mar 31, 2022 | -40.09% |
| Dec 31, 2021 | -45.10% |
| Sep 30, 2021 | -36.78% |
| Jun 30, 2021 | -34.92% |
| Mar 31, 2021 | -10.83% |
| Dec 31, 2020 | -36.59% |
Franklin Street Properties Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();