Bxp (BXP) Return on Sales [ROS] (2009 - 2026)
Bxp's Return on Sales [ROS] came in at 28.56% for Q1 2024, up 0.19 percentage points from 28.37% a year earlier but down 2.03 percentage points from the prior quarter.
Bxp (BXP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, Bxp reported Return on Sales [ROS] of 30.64%, down 1.33 percentage points year-over-year; for FY2023, it came in at 30.61%, down 2.56 percentage points from FY2022.
- Return on Sales [ROS] carries a five-year change of -2.20 percentage points (FY2018 to FY2023).
- Going back by year, Return on Sales [ROS] was 33.17% in FY2022 (+0.11 pp), 33.06% in FY2021 (+0.80 pp), 32.26% in FY2020 (-1.91 pp) and 34.17% in FY2019 (+1.35 pp).
- The five-year range for quarterly Return on Sales [ROS] is 28.37% (Q1 2023) to 35.18% (Q4 2019).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.37 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2021 (a gain of 3.60 percentage points), and the weakest in Q1 2023 (a drop of 4.71 percentage points).
- Business Quant data shows BXP's Return on Sales [ROS] at 30.59% (Q4 2023), 31.85% (Q3 2023) and 31.59% (Q2 2023) in the three quarters before Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 51.59% |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 43.38% |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 45.77% |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 37.85% |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | - |
| 10 | Bxp | 9.61 Bn | 10.16 Bn | 886.33 Mn | 27.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.86% |
| Mar 31, 2026 | 25.20% |
| Dec 31, 2025 | 27.98% |
| Sep 30, 2025 | 27.87% |
| Jun 30, 2025 | 28.43% |
| Mar 31, 2025 | 27.84% |
| 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% |
| Sep 30, 2021 | 33.56% |
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();