DuPont de Nemours (DD) Non-Current Assets (2016 - 2026)
DuPont de Nemours' Non-Current Assets came in at $16.07 billion for Q3 2026, down 42.7% from $28.02 billion a year earlier and down 0.9% from the prior quarter.
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Analysis
DuPont de Nemours (DD) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, DuPont de Nemours' Non-Current Assets was $16 billion, up 0.9% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -17.5% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $15.86 billion in FY2024 (-48.9%), $31.04 billion in FY2023 (+3.2%), $30.09 billion in FY2022 (-4.2%) and $31.4 billion in FY2021 (-25.0%).
- The five-year range for quarterly Non-Current Assets is $15.81 billion (Q1 2026) to $31.4 billion (Q4 2021).
- Year-over-year, Non-Current Assets has declined for three consecutive quarters, with an average decline of 24.8% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2023 (growth of 4.9%), and the weakest in Q4 2024 (a decline of 48.9%).
- Business Quant data shows DD's Non-Current Assets at $16.21 billion (Q2 2026), $15.81 billion (Q1 2026) and $16 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.61 Bn | 223.75 Bn | 4.44 Bn | 74.66 Bn |
| 2 | Corning | 102.99 Bn | 95.28 Bn | 1.81 Bn | 22.78 Bn |
| 3 | Sherwin Williams | 84.78 Bn | 83.80 Bn | 3.28 Bn | 19.93 Bn |
| 4 | Air Products & Chemicals | 70.25 Bn | 70.25 Bn | - | 36.19 Bn |
| 5 | LyondellBasell Industries | 41.26 Bn | 29.44 Bn | 1.50 Bn | 22.67 Bn |
| 6 | Nutrien | 34.33 Bn | 30.90 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.04 Bn | 20.10 Bn | 1.76 Bn | 14.33 Bn |
| 8 | Ati | 24.89 Bn | 22.85 Bn | 380.20 Mn | 2.52 Bn |
| 9 | Qnity Electronics | 24.53 Bn | 20.67 Bn | 743.00 Mn | 11.50 Bn |
| 10 | DuPont de Nemours | 20.48 Bn | 15.66 Bn | 667.00 Mn | 16.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.07 Bn |
| Jun 30, 2026 | 16.21 Bn |
| Mar 31, 2026 | 15.81 Bn |
| Dec 31, 2025 | 16.00 Bn |
| Sep 30, 2025 | 28.02 Bn |
| Jun 30, 2025 | 29.71 Bn |
| Mar 31, 2025 | 29.52 Bn |
| Dec 31, 2024 | 15.86 Bn |
| Sep 30, 2024 | 31.02 Bn |
| Jun 30, 2024 | 30.39 Bn |
| Mar 31, 2024 | 30.65 Bn |
| Dec 31, 2023 | 31.04 Bn |
| Sep 30, 2023 | 31.20 Bn |
| Jun 30, 2023 | 29.67 Bn |
| Mar 31, 2023 | 30.01 Bn |
| Dec 31, 2022 | 30.09 Bn |
| Sep 30, 2022 | 29.75 Bn |
| Jun 30, 2022 | 30.43 Bn |
| Mar 31, 2022 | 30.95 Bn |
| Dec 31, 2021 | 31.40 Bn |
API Access
DuPont de Nemours Non-Current Assets 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=non-current-assets&ticker=DD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();