Olin (OLN) Return on Sales [ROS] (2009 - 2026)
Olin's Return on Sales [ROS] came in at 2.67% for Q2 2026, up 0.66 percentage points from 2.01% a year earlier and up 7.62 percentage points from the prior quarter.
Olin (OLN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Olin reported Return on Sales [ROS] of -1.57%, down 3.70 percentage points year-over-year; for FY2025, it came in at 0.08%, down 4.46 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last four years, though with a five-year change of +13.05 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 4.53% in FY2024 (-5.89 pp), 10.42% in FY2023 (-8.55 pp), 18.97% in FY2022 (-1.80 pp) and 20.77% in FY2021 (+33.74 pp).
- The five-year range for quarterly Return on Sales [ROS] is -9.40% (Q4 2025) to 23.46% (Q3 2021).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -4.64 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 71.03 percentage points), and the weakest in Q4 2025 (a drop of 12.23 percentage points).
- Business Quant data shows OLN's Return on Sales [ROS] at -4.95% (Q1 2026), -9.40% (Q4 2025) and 4.83% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | -66.34% |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 32.29% |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 16.81% |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 28.51% |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 25.75% |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 17.45% |
| 10 | Olin | 1.77 Bn | 1.09 Bn | 170.20 Mn | 2.67% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.67% |
| Mar 31, 2026 | -4.95% |
| Dec 31, 2025 | -9.40% |
| Sep 30, 2025 | 4.83% |
| Jun 30, 2025 | 2.01% |
| Mar 31, 2025 | 2.66% |
| Dec 31, 2024 | 2.83% |
| Sep 30, 2024 | 0.98% |
| Jun 30, 2024 | 8.30% |
| Mar 31, 2024 | 5.95% |
| Dec 31, 2023 | 6.13% |
| Sep 30, 2023 | 9.93% |
| Jun 30, 2023 | 12.73% |
| Mar 31, 2023 | 12.49% |
| Dec 31, 2022 | 13.84% |
| Sep 30, 2022 | 16.95% |
| Jun 30, 2022 | 21.61% |
| Mar 31, 2022 | 22.20% |
| Dec 31, 2021 | 21.63% |
| Sep 30, 2021 | 23.46% |
Olin 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=OLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OLN", "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=OLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();