DuPont de Nemours (DD) EBITDA (2016 - 2026)
DuPont de Nemours' EBITDA came in at $520 million for Q3 2026, up 11.8% from $465 million a year earlier and up 7.9% from the prior quarter.
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Analysis
DuPont de Nemours (DD) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, DuPont de Nemours reported EBITDA of $1.91 billion, down 7.8% year-over-year; for FY2025, it came in at $1.8 billion, up 7.3% from FY2024.
- EBITDA carries a five-year compound annual growth rate of -15.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $1.68 billion in FY2024 (+0.4%), $1.67 billion in FY2023 (-55.5%), $3.75 billion in FY2022 (+5.6%) and $3.55 billion in FY2021 (-16.6%).
- The Q3 2026 figure represents the highest quarterly EBITDA since Q4 2024.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 15.1% over the last seven quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2025 (growth of 48.1%), and the weakest in Q4 2021 (a decline of 72.5%).
- Business Quant data shows DD's EBITDA at $482 million (Q2 2026), $455 million (Q1 2026) and $457 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.61 Bn | 223.75 Bn | 4.44 Bn | 3.12 Bn |
| 2 | Corning | 102.99 Bn | 95.28 Bn | 1.81 Bn | 1.30 Bn |
| 3 | Sherwin Williams | 84.78 Bn | 83.80 Bn | 3.28 Bn | 1.40 Bn |
| 4 | Air Products & Chemicals | 70.25 Bn | 70.25 Bn | - | - |
| 5 | LyondellBasell Industries | 41.26 Bn | 29.44 Bn | 1.50 Bn | 1.44 Bn |
| 6 | Nutrien | 34.33 Bn | 30.90 Bn | 1.86 Bn | 2.34 Bn |
| 7 | Ppg Industries | 27.04 Bn | 20.10 Bn | 1.76 Bn | 782.00 Mn |
| 8 | Ati | 24.89 Bn | 22.85 Bn | 380.20 Mn | 316.80 Mn |
| 9 | Qnity Electronics | 24.53 Bn | 20.67 Bn | 743.00 Mn | 536.00 Mn |
| 10 | DuPont de Nemours | 20.48 Bn | 15.66 Bn | 667.00 Mn | 514.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 514.00 Mn |
| Jun 30, 2026 | 475.00 Mn |
| Mar 31, 2026 | 409.00 Mn |
| Dec 31, 2025 | 363.00 Mn |
| Sep 30, 2025 | 447.00 Mn |
| Jun 30, 2025 | 402.00 Mn |
| Mar 31, 2025 | 380.00 Mn |
| Dec 31, 2024 | 735.00 Mn |
| Sep 30, 2024 | 331.00 Mn |
| Jun 30, 2024 | 324.00 Mn |
| Mar 31, 2024 | 244.00 Mn |
| Dec 31, 2023 | -99,000.91 Bn |
| Sep 30, 2023 | 902.00 Mn |
| Jun 30, 2023 | 846.00 Mn |
| Mar 31, 2023 | 831.00 Mn |
| Dec 31, 2022 | 816.00 Mn |
| Sep 30, 2022 | 1.02 Bn |
| Jun 30, 2022 | 883.00 Mn |
| Mar 31, 2022 | 873.00 Mn |
| Dec 31, 2021 | 554.00 Mn |
API Access
DuPont de Nemours EBITDA 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=ebitda&ticker=DD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();