Franklin Street Properties (FSP) Return on Sales [ROS] (2009 - 2026)
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 - 2026) 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 | 181.70 Bn | 168.77 Bn | 1.47 Bn | 14.28% |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 43.76% |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 44.33% |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 23.20% |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 48.67% |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 14.38% |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 39.50% |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | -52.20% |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 44.04% |
| 10 | Franklin Street Properties | 42.64 Mn | -68.99 Mn | 14.33 Mn | 48.93% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.93% |
| Jun 30, 2026 | 44.77% |
| Mar 31, 2026 | 44.58% |
| Dec 31, 2025 | -3.58% |
| 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 | 2.97% |
| Dec 31, 2021 | -45.10% |
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();