Linde (LIN) Return on Sales [ROS] (2017 - 2026)
Linde's Return on Sales [ROS] was 22.86% in Q3 2026, down 4.61 percentage points from 27.48% a year earlier and down 4.63 percentage points from the prior quarter.
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Analysis
Linde (LIN) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Linde's Return on Sales [ROS] was 25.28% through Sep 30, 2026, down 2.10 percentage points year-over-year; for FY2025, it came in at 26.25%, up 0.09 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +14.06 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 26.16% in FY2024 (+1.74 pp), 24.42% in FY2023 (+8.33 pp), 16.09% in FY2022 (-0.09 pp) and 16.19% in FY2021 (+3.99 pp).
- The Q3 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of -0.06 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 17.55 percentage points); the worst was Q2 2022 (a drop of 8.09 percentage points).
- Per Business Quant data, LIN's Return on Sales [ROS] in the three quarters before Q3 2026 was 27.49% (Q2 2026), 27.78% (Q1 2026) and 23.03% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 22.86% |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 18.76% |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 17.61% |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 12.55% |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 28.07% |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 14.89% |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 28.15% |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 19.10% |
| 10 | Dow | 22.79 Bn | 8.23 Bn | 1.38 Bn | 2.27% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.86% |
| Jun 30, 2026 | 27.49% |
| Mar 31, 2026 | 27.78% |
| Dec 31, 2025 | 23.03% |
| Sep 30, 2025 | 27.48% |
| Jun 30, 2025 | 27.71% |
| Mar 31, 2025 | 26.92% |
| Dec 31, 2024 | 27.41% |
| Sep 30, 2024 | 24.96% |
| Jun 30, 2024 | 26.42% |
| Mar 31, 2024 | 25.86% |
| Dec 31, 2023 | 24.43% |
| Sep 30, 2023 | 25.16% |
| Jun 30, 2023 | 24.51% |
| Mar 31, 2023 | 23.59% |
| Dec 31, 2022 | 21.36% |
| Sep 30, 2022 | 18.34% |
| Jun 30, 2022 | 6.96% |
| Mar 31, 2022 | 18.02% |
| Dec 31, 2021 | 16.11% |
API Access
Linde 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=LIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LIN", "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=LIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();