Bxp (BXP) Return on Sales [ROS] (2009 - 2026)
Bxp's Return on Sales [ROS] came in at 31.36% for Q3 2026, up 27.07 percentage points from 4.30% a year earlier but down 11.11 percentage points from the prior quarter.
Bxp (BXP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Bxp reported Return on Sales [ROS] of 30.14%, up 20.52 percentage points year-over-year; for FY2025, it came in at 18.32%, down 0.47 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last three years, with a five-year change of -13.94 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 18.79% in FY2024 (-11.83 pp), 30.61% in FY2023 (-2.56 pp), 33.17% in FY2022 (+0.11 pp) and 33.06% in FY2021 (+0.80 pp).
- The five-year range for quarterly Return on Sales [ROS] is 1.94% (Q1 2026) to 44.33% (Q4 2025).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +0.41 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 39.53 percentage points), and the weakest in Q1 2025 (a drop of 26.47 percentage points).
- Business Quant data shows BXP's Return on Sales [ROS] at 42.47% (Q2 2026), 1.94% (Q1 2026) and 44.33% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 14.28% |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 43.76% |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 44.33% |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 23.20% |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 48.67% |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 39.50% |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 14.38% |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | -52.20% |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 44.04% |
| 10 | Bxp | 10.18 Bn | 6.78 Bn | 901.51 Mn | 31.36% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.36% |
| Jun 30, 2026 | 42.47% |
| Mar 31, 2026 | 1.94% |
| Dec 31, 2025 | 44.33% |
| Sep 30, 2025 | 4.30% |
| Jun 30, 2025 | 2.94% |
| Mar 31, 2025 | 2.08% |
| Dec 31, 2024 | 29.39% |
| Sep 30, 2024 | 29.28% |
| Jun 30, 2024 | 28.38% |
| Mar 31, 2024 | 28.56% |
| Dec 31, 2023 | 30.59% |
| Sep 30, 2023 | 31.85% |
| Jun 30, 2023 | 31.59% |
| Mar 31, 2023 | 28.37% |
| Dec 31, 2022 | 32.02% |
| Sep 30, 2022 | 33.27% |
| Jun 30, 2022 | 34.32% |
| Mar 31, 2022 | 33.08% |
| Dec 31, 2021 | 34.05% |
Bxp 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=BXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BXP", "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=BXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();