Sotherly Hotels (SOHOB) Return on Sales [ROS] (2010 - 2025)
Sotherly Hotels' Return on Sales [ROS] came in at -1.23% for Q4 2025, down 10.14 percentage points from 8.92% a year earlier.
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Analysis
Sotherly Hotels (SOHOB) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
For FY2025, Sotherly Hotels' Return on Sales [ROS] was 7.20%, down 4.15 percentage points from FY2024.
- Going back by year, Return on Sales [ROS] was 11.35% in FY2024 (+0.46 pp) and 10.89% in FY2023.
- The Q4 2025 figure represents the lowest quarterly Return on Sales [ROS] in data going back to Q2 2010.
Peer Set
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 | Sotherly Hotels | 68.64 Mn | 39.89 Mn | - | -1.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.23% |
| Sep 30, 2025 | 1.35% |
| Jun 30, 2025 | 13.47% |
| Mar 31, 2025 | 12.65% |
| Dec 31, 2024 | 8.92% |
| Dec 31, 2024 | 8.92% |
| Sep 30, 2024 | 4.31% |
| Jun 30, 2024 | 18.34% |
| Mar 31, 2024 | 12.19% |
| Dec 31, 2023 | 9.37% |
| Sep 30, 2023 | 2.98% |
| Jun 30, 2023 | 16.91% |
| Mar 31, 2023 | 12.69% |
| Dec 31, 2022 | 12.44% |
| Sep 30, 2022 | 8.39% |
| Jun 30, 2022 | 17.38% |
| Mar 31, 2022 | 10.23% |
| Dec 31, 2021 | -33.93% |
| Sep 30, 2021 | 7.85% |
| Jun 30, 2021 | 9.14% |
API Access
Sotherly Hotels 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=SOHOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SOHOB", "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=SOHOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();