Sotherly Hotels (SOHOB) Net Margin (2010 - 2025)
Sotherly Hotels' Net Margin was -25.33% in Q4 2025, down 18.43 percentage points from -6.90% a year earlier.
Analysis
Sotherly Hotels (SOHOB) Net Margin (2010 - 2025) Analysis & Trends
For FY2025, Net Margin at Sotherly Hotels came in at -8.88%, down 5.21 percentage points from FY2024.
- In earlier years, Net Margin was -3.67% in FY2024 (-1.35 pp) and -2.32% in FY2023.
- The Q4 2025 figure marks the lowest quarterly Net Margin in data going back to Q2 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 12.55% |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 43.74% |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 170.16% |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 22.22% |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 36.52% |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 4.08% |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 30.14% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 49.74% |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Sotherly Hotels | 68.64 Mn | 39.89 Mn | - | -25.33% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -25.33% |
| Sep 30, 2025 | -19.69% |
| Jun 30, 2025 | -0.85% |
| Mar 31, 2025 | 5.57% |
| Dec 31, 2024 | -6.90% |
| Dec 31, 2024 | -6.90% |
| Sep 30, 2024 | -13.77% |
| Jun 30, 2024 | 5.17% |
| Mar 31, 2024 | -1.42% |
| Dec 31, 2023 | -6.37% |
| Sep 30, 2023 | -9.96% |
| Jun 30, 2023 | 6.39% |
| Mar 31, 2023 | -1.34% |
| Dec 31, 2022 | 7.48% |
| Sep 30, 2022 | 0.29% |
| Jun 30, 2022 | 51.45% |
| Mar 31, 2022 | -6.54% |
| Dec 31, 2021 | -49.06% |
| Sep 30, 2021 | -12.16% |
| Jun 30, 2021 | -8.17% |
API Access
Sotherly Hotels Net Margin 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=net-margin&ticker=SOHOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SOHOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();