Corning (GLW) Return on Sales [ROS] (2009 - 2026)
Corning's Return on Sales [ROS] came in at 15.49% for Q2 2026, up 0.66 percentage points from 14.84% a year earlier and up 0.07 percentage points from the prior quarter.
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Analysis
Corning (GLW) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Corning reported Return on Sales [ROS] of 15.31%, up 3.26 percentage points year-over-year; for FY2025, it came in at 14.58%, up 5.93 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +10.08 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 8.65% in FY2024 (+1.58 pp), 7.07% in FY2023 (-3.06 pp), 10.13% in FY2022 (-4.86 pp) and 15.00% in FY2021 (+10.49 pp).
- The five-year range for quarterly Return on Sales [ROS] is 2.52% (Q4 2022) to 15.94% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for eight consecutive quarters, with an average year-over-year change of +4.62 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2025 (a gain of 9.12 percentage points), and the weakest in Q4 2022 (a drop of 10.61 percentage points).
- Business Quant data shows GLW's Return on Sales [ROS] at 15.42% (Q1 2026), 15.94% (Q4 2025) and 14.37% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | International Flavors & Fragrances | 21.04 Bn | 18.74 Bn | 853.00 Mn | 8.09% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.49% |
| Mar 31, 2026 | 15.42% |
| Dec 31, 2025 | 15.94% |
| Sep 30, 2025 | 14.37% |
| Jun 30, 2025 | 14.84% |
| Mar 31, 2025 | 12.89% |
| Dec 31, 2024 | 11.23% |
| Sep 30, 2024 | 8.91% |
| Jun 30, 2024 | 5.72% |
| Mar 31, 2024 | 8.54% |
| Dec 31, 2023 | 2.61% |
| Sep 30, 2023 | 7.44% |
| Jun 30, 2023 | 8.60% |
| Mar 31, 2023 | 9.35% |
| Dec 31, 2022 | 2.52% |
| Sep 30, 2022 | 8.37% |
| Jun 30, 2022 | 13.55% |
| Mar 31, 2022 | 15.49% |
| Dec 31, 2021 | 13.14% |
| Sep 30, 2021 | 15.27% |
API Access
Corning 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=GLW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GLW", "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=GLW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();