DuPont de Nemours (DD) Operating Expenses (2016 - 2026)
DuPont de Nemours (DD) posted Operating Expenses of $311 million for Q2 2026, down 1.3% from $315 million a year earlier but up 3.0% from the prior quarter.
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Analysis
DuPont de Nemours (DD) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at DuPont de Nemours was $821 million, up 6.8% year-over-year; for FY2025, it came in at $1.21 billion, up 2.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- In prior years, DuPont de Nemours' Operating Expenses was $1.18 billion in FY2024 (+8.9%), $1.08 billion in FY2023 (-45.9%), $2 billion in FY2022 (-7.2%) and $2.16 billion in FY2021 (-25.7%).
- Quarterly Operating Expenses has run from a low of -$355 million in Q4 2023 to a high of $552 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last six quarters, with an average decline of 12.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 64.4%; the weakest was Q1 2025, with a decline of 44.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $302 million (Q1 2026), -$319 million (Q4 2025) and $527 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 1.15 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 613.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 1.25 Bn |
| 10 | DuPont de Nemours | 18.24 Bn | 13.23 Bn | 639.00 Mn | 311.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 311.00 Mn |
| Mar 31, 2026 | 302.00 Mn |
| Dec 31, 2025 | -319.00 Mn |
| Sep 30, 2025 | 527.00 Mn |
| Jun 30, 2025 | 315.00 Mn |
| Mar 31, 2025 | 284.00 Mn |
| Dec 31, 2024 | -325.00 Mn |
| Sep 30, 2024 | 495.00 Mn |
| Jun 30, 2024 | 552.00 Mn |
| Mar 31, 2024 | 509.00 Mn |
| Dec 31, 2023 | -355.00 Mn |
| Sep 30, 2023 | 488.00 Mn |
| Jun 30, 2023 | 483.00 Mn |
| Mar 31, 2023 | 467.00 Mn |
| Dec 31, 2022 | 460.00 Mn |
| Sep 30, 2022 | 485.00 Mn |
| Jun 30, 2022 | 526.00 Mn |
| Mar 31, 2022 | 532.00 Mn |
| Dec 31, 2021 | 549.00 Mn |
| Sep 30, 2021 | 548.00 Mn |
API Access
DuPont de Nemours Operating Expenses 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=operating-expenses&ticker=DD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();