Service Properties Trust (SVC) Return on Sales [ROS] (2009 - 2026)
Service Properties Trust (SVC) recorded Return on Sales [ROS] of -93.14% in Q2 2026, down 40.69 percentage points from -52.45% a year earlier and down 26.33 percentage points from the prior quarter.
Service Properties Trust (SVC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Service Properties Trust's Return on Sales [ROS] came in at -70.15% as of Jun 30, 2026, down 8.98 percentage points year-over-year; for FY2025, it came in at -61.28%, down 0.85 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -3.11 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -60.43% in FY2024 (-5.52 pp), -54.91% in FY2023 (+2.16 pp), -57.07% in FY2022 (+24.79 pp) and -81.86% in FY2021 (-23.69 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q4 2021.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -6.31 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 41.36 percentage points in Q4 2022, against a drop of 40.69 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -66.82% (Q1 2026), -58.27% (Q4 2025) and -62.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 45.77% |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Service Properties Trust | 826.39 Mn | 37.35 Mn | 156.32 Mn | -93.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -93.14% |
| Mar 31, 2026 | -66.82% |
| Dec 31, 2025 | -58.27% |
| Sep 30, 2025 | -62.34% |
| Jun 30, 2025 | -52.45% |
| Mar 31, 2025 | -73.06% |
| Dec 31, 2024 | -63.08% |
| Sep 30, 2024 | -57.79% |
| Jun 30, 2024 | -56.49% |
| Mar 31, 2024 | -65.26% |
| Dec 31, 2023 | -58.14% |
| Sep 30, 2023 | -50.21% |
| Jun 30, 2023 | -46.79% |
| Mar 31, 2023 | -66.56% |
| Dec 31, 2022 | -52.90% |
| Sep 30, 2022 | -51.33% |
| Jun 30, 2022 | -49.39% |
| Mar 31, 2022 | -79.23% |
| Dec 31, 2021 | -94.25% |
| Sep 30, 2021 | -63.91% |
Service Properties Trust 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=SVC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SVC", "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=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();