DuPont de Nemours (DD) Return on Sales [ROS] (2016 - 2026)
DuPont de Nemours (DD) reported Return on Sales [ROS] of 18.03% for Q2 2026, up 1.39 percentage points from 16.64% a year earlier and up 0.19 percentage points from the prior quarter.
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Analysis
DuPont de Nemours (DD) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DuPont de Nemours' Return on Sales [ROS] came in at 23.38%, up 1.01 percentage points year-over-year; for FY2025, it was 16.81%, up 1.31 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +6.39 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 15.49% in FY2024 (-0.97 pp), 16.47% in FY2023 (-3.60 pp), 20.07% in FY2022 (+0.68 pp) and 19.39% in FY2021 (+8.97 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -0.50% in Q1 2024 and a high of 54.16% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +7.11 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2024 (a gain of 35.52 percentage points); the low point was Q1 2024 (a drop of 19.32 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 17.85% (Q1 2026), 54.16% (Q4 2025) and 4.96% (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 | DuPont de Nemours | 17.45 Bn | 12.44 Bn | 639.00 Mn | 18.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.03% |
| Mar 31, 2026 | 17.85% |
| Dec 31, 2025 | 54.16% |
| Sep 30, 2025 | 4.96% |
| Jun 30, 2025 | 16.64% |
| Mar 31, 2025 | 16.07% |
| Dec 31, 2024 | 51.98% |
| Sep 30, 2024 | 4.96% |
| Jun 30, 2024 | 1.98% |
| Mar 31, 2024 | -0.50% |
| Dec 31, 2023 | 16.47% |
| Sep 30, 2023 | 20.14% |
| Jun 30, 2023 | 18.78% |
| Mar 31, 2023 | 18.82% |
| Dec 31, 2022 | 19.20% |
| Sep 30, 2022 | 22.22% |
| Jun 30, 2022 | 19.48% |
| Mar 31, 2022 | 19.30% |
| Dec 31, 2021 | 17.81% |
| Sep 30, 2021 | 19.35% |
API Access
DuPont de Nemours 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=DD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DD", "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=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();