DuPont de Nemours (DD) Return on Sales [ROS] (2016 - 2026)
DuPont de Nemours (DD) reported Return on Sales [ROS] of 19.54% for Q3 2026, up 2.66 percentage points from 16.88% a year earlier and up 1.51 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 Sep 30, 2026, DuPont de Nemours' Return on Sales [ROS] came in at 18.28%, down 7.01 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).
- The Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q4 2024.
- 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 +6.26 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 Q4 2025 (a drop of 34.38 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 18.03% (Q2 2026), 17.85% (Q1 2026) and 17.60% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 242.21 Bn | 224.35 Bn | 4.44 Bn | 22.86% |
| 2 | Corning | 102.99 Bn | 95.28 Bn | 1.81 Bn | 18.76% |
| 3 | Sherwin Williams | 84.89 Bn | 83.91 Bn | 3.28 Bn | 17.61% |
| 4 | Air Products & Chemicals | 70.23 Bn | 70.23 Bn | - | - |
| 5 | LyondellBasell Industries | 41.26 Bn | 29.44 Bn | 1.50 Bn | 12.55% |
| 6 | Nutrien | 34.33 Bn | 30.90 Bn | 1.86 Bn | 28.07% |
| 7 | Ppg Industries | 27.04 Bn | 20.10 Bn | 1.76 Bn | 14.89% |
| 8 | Ati | 24.74 Bn | 22.70 Bn | 380.20 Mn | 19.10% |
| 9 | Qnity Electronics | 24.47 Bn | 20.62 Bn | 743.00 Mn | 28.15% |
| 10 | DuPont de Nemours | 20.50 Bn | 15.69 Bn | 667.00 Mn | 19.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.22% |
| Jun 30, 2026 | 17.65% |
| Mar 31, 2026 | 15.11% |
| Dec 31, 2025 | 12.05% |
| Sep 30, 2025 | 15.88% |
| Jun 30, 2025 | 13.49% |
| Mar 31, 2025 | 13.65% |
| Dec 31, 2024 | 51.92% |
| Sep 30, 2024 | 3.73% |
| Jun 30, 2024 | 1.51% |
| Mar 31, 2024 | -2.94% |
| Dec 31, 2023 | -1,496,808.45% |
| Sep 30, 2023 | 19.88% |
| Jun 30, 2023 | 18.23% |
| Mar 31, 2023 | 18.36% |
| Dec 31, 2022 | 17.46% |
| Sep 30, 2022 | 22.22% |
| Jun 30, 2022 | 19.48% |
| Mar 31, 2022 | 16.22% |
| Dec 31, 2021 | 16.51% |
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();