Linde (LIN) Return on Sales [ROS] (2017 - 2026)
Linde's Return on Sales [ROS] was 27.49% in Q2 2026, down 0.22 percentage points from 27.71% a year earlier and down 0.28 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 26.45% through Jun 30, 2026, down 0.30 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).
- Quarterly Return on Sales [ROS] has moved between 6.96% (Q2 2022) and 27.78% (Q1 2026) over five years.
- 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 +0.49 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 Q2 2026 was 27.78% (Q1 2026), 23.03% (Q4 2025) and 27.48% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 14.73% |
| 10 | International Flavors & Fragrances | 21.22 Bn | 18.91 Bn | 853.00 Mn | 8.09% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 16.85% |
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();