Dow (DOW) Return on Sales [ROS] (2009 - 2026)
Dow's Return on Sales [ROS] came in at 6.93% for Q3 2026, up 5.16 percentage points from 1.77% a year earlier but down 0.69 percentage points from the prior quarter.
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Analysis
Dow (DOW) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Dow reported Return on Sales [ROS] of 1.69%, up 1.99 percentage points year-over-year; for FY2025, it was -3.67%, down 8.59 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -9.51 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 4.92% in FY2024 (+0.67 pp), 4.25% in FY2023 (-6.15 pp), 10.40% in FY2022 (-4.64 pp) and 15.04% in FY2021 (+9.21 pp).
- The five-year range for quarterly Return on Sales [ROS] is -10.55% (Q4 2025) to 13.51% (Q4 2021).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -1.95 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 13.00 percentage points), and the weakest in Q4 2025 (a drop of 13.88 percentage points).
- Business Quant data shows DOW's Return on Sales [ROS] at 7.62% (Q2 2026), 0.15% (Q1 2026) and -10.55% (Q4 2025) in the three quarters before Q3 2026.
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 | 2.27% |
| Jun 30, 2026 | 3.12% |
| Mar 31, 2026 | -5.65% |
| Dec 31, 2025 | -10.55% |
| Sep 30, 2025 | -4.06% |
| Jun 30, 2025 | -11.32% |
| Mar 31, 2025 | -6.62% |
| Dec 31, 2024 | 3.33% |
| Sep 30, 2024 | -1.24% |
| Jun 30, 2024 | 1.58% |
| Mar 31, 2024 | 0.22% |
| Dec 31, 2023 | 3.50% |
| Sep 30, 2023 | -0.04% |
| Jun 30, 2023 | 3.14% |
| Mar 31, 2023 | -4.36% |
| Dec 31, 2022 | 5.57% |
| Sep 30, 2022 | 4.41% |
| Jun 30, 2022 | 9.84% |
| Mar 31, 2022 | 9.05% |
| Dec 31, 2021 | 13.51% |
API Access
Dow 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=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DOW", "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=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();