LXP Industrial Trust (LXP) Return on Sales [ROS] (2010 - 2026)
LXP Industrial Trust's Return on Sales [ROS] was 70.62% in Q2 2026, down 0.26 percentage points from 70.88% a year earlier but up 2.04 percentage points from the prior quarter.
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Analysis
LXP Industrial Trust (LXP) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, LXP Industrial Trust's Return on Sales [ROS] was 69.96% through Jun 30, 2026, down 1.33 percentage points year-over-year; for FY2025, it was 70.13%, down 1.68 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -8.00 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 71.81% in FY2024 (-0.37 pp), 72.18% in FY2023 (+2.61 pp), 69.57% in FY2022 (-6.24 pp) and 75.81% in FY2021 (-2.31 pp).
- Quarterly Return on Sales [ROS] has moved between 58.51% (Q1 2022) and 76.30% (Q3 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -1.02 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 12.71 percentage points); the worst was Q1 2022 (a drop of 10.12 percentage points).
- Per Business Quant data, LXP's Return on Sales [ROS] in the three quarters before Q2 2026 was 68.58% (Q1 2026), 69.00% (Q4 2025) and 71.61% (Q3 2025).
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 | LXP Industrial Trust | 3.59 Bn | 3.61 Bn | 71.94 Mn | 70.62% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.62% |
| Mar 31, 2026 | 68.58% |
| Dec 31, 2025 | 69.00% |
| Sep 30, 2025 | 71.61% |
| Jun 30, 2025 | 70.88% |
| Mar 31, 2025 | 69.03% |
| Dec 31, 2024 | 75.07% |
| Sep 30, 2024 | 69.61% |
| Jun 30, 2024 | 70.59% |
| Mar 31, 2024 | 71.38% |
| Dec 31, 2023 | 73.26% |
| Sep 30, 2023 | 72.72% |
| Jun 30, 2023 | 71.56% |
| Mar 31, 2023 | 71.22% |
| Dec 31, 2022 | 72.61% |
| Sep 30, 2022 | 71.26% |
| Jun 30, 2022 | 63.11% |
| Mar 31, 2022 | 58.51% |
| Dec 31, 2021 | 72.12% |
| Sep 30, 2021 | 76.30% |
API Access
LXP Industrial 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=LXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LXP", "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=LXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();