Pebblebrook Hotel Trust (PEB) Return on Sales [ROS] (2010 - 2026)
Pebblebrook Hotel Trust's Return on Sales [ROS] came in at 14.06% for Q2 2026, up 1.20 percentage points from 12.85% a year earlier and up 11.73 percentage points from the prior quarter.
Pebblebrook Hotel Trust (PEB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pebblebrook Hotel Trust reported Return on Sales [ROS] of 4.26%, down 0.47 percentage points year-over-year; for FY2025, it came in at 2.97%, down 2.81 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +69.06 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 5.78% in FY2024 (+3.12 pp), 2.66% in FY2023 (+1.61 pp), 1.06% in FY2022 (+13.31 pp) and -12.25% in FY2021 (+53.84 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q2 2024.
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +1.61 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 180.22 percentage points), and the weakest in Q3 2023 (a drop of 19.11 percentage points).
- Business Quant data shows PEB's Return on Sales [ROS] at 2.33% (Q1 2026), 2.54% (Q4 2025) and -2.56% (Q3 2025) in the three quarters before Q2 2026.
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 | Pebblebrook Hotel Trust | 2.14 Bn | 1.37 Bn | 154.61 Mn | 14.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.06% |
| Mar 31, 2026 | 2.33% |
| Dec 31, 2025 | 2.54% |
| Sep 30, 2025 | -2.56% |
| Jun 30, 2025 | 12.85% |
| Mar 31, 2025 | -2.26% |
| Dec 31, 2024 | -6.70% |
| Sep 30, 2024 | 11.63% |
| Jun 30, 2024 | 15.35% |
| Mar 31, 2024 | -0.44% |
| Dec 31, 2023 | -4.84% |
| Sep 30, 2023 | -6.58% |
| Jun 30, 2023 | 19.46% |
| Mar 31, 2023 | 1.70% |
| Dec 31, 2022 | -3.68% |
| Sep 30, 2022 | 12.53% |
| Jun 30, 2022 | 13.07% |
| Mar 31, 2022 | -30.09% |
| Dec 31, 2021 | -7.80% |
| Sep 30, 2021 | -0.26% |
Pebblebrook Hotel 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=PEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PEB", "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=PEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();