Lsb Industries (LXU) Return on Sales [ROS] (2010 - 2026)
Lsb Industries (LXU) posted Return on Sales [ROS] of -1.63% for Q2 2026, down 8.57 percentage points from 6.94% a year earlier and down 15.29 percentage points from the prior quarter.
Lsb Industries (LXU) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Lsb Industries was 9.53%, up 12.54 percentage points year-over-year; for FY2025, it was 9.31%, up 10.36 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +13.73 percentage points (FY2020 to FY2025).
- In prior years, Lsb Industries' Return on Sales [ROS] was -1.05% in FY2024 (-9.77 pp), 8.72% in FY2023 (-25.48 pp), 34.20% in FY2022 (+16.03 pp) and 18.17% in FY2021 (+22.59 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +3.21 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 48.14 percentage points; the weakest was Q4 2023, with a drop of 32.94 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 13.66% (Q1 2026), 16.17% (Q4 2025) and 10.06% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Lsb Industries | 711.34 Mn | 10.82 Mn | 11.46 Mn | -1.63% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.63% |
| Mar 31, 2026 | 13.66% |
| Dec 31, 2025 | 16.17% |
| Sep 30, 2025 | 10.06% |
| Jun 30, 2025 | 6.94% |
| Mar 31, 2025 | 3.12% |
| Dec 31, 2024 | -5.00% |
| Sep 30, 2024 | -22.36% |
| Jun 30, 2024 | 10.28% |
| Mar 31, 2024 | 8.15% |
| Dec 31, 2023 | 2.45% |
| Sep 30, 2023 | -8.31% |
| Jun 30, 2023 | 16.58% |
| Mar 31, 2023 | 16.87% |
| Dec 31, 2022 | 35.39% |
| Sep 30, 2022 | 7.09% |
| Jun 30, 2022 | 46.58% |
| Mar 31, 2022 | 40.19% |
| Dec 31, 2021 | 36.63% |
| Sep 30, 2021 | 4.22% |
Lsb Industries 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=LXU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LXU", "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=LXU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();