DuPont de Nemours (DD) Total Non-Current Liabilities (2016 - 2026)
DuPont de Nemours (DD) recorded Total Non-Current Liabilities of $5.82 billion in Q2 2026, down 49.8% from $11.6 billion a year earlier and down 3.4% from the prior quarter.
DuPont de Nemours (DD) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, DuPont de Nemours reported Total Non-Current Liabilities of $6.28 billion, down 46.7% from FY2024.
- Annual Total Non-Current Liabilities has declined for five straight years, with a five-year compound annual growth rate of -27.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $11.78 billion in FY2024 (-6.5%), $12.59 billion in FY2023 (-4.5%), $13.19 billion in FY2022 (-25.8%) and $17.78 billion in FY2021 (-42.6%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 19.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 15.1% in Q3 2025, against a decline of 49.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.03 billion (Q1 2026), $6.28 billion (Q4 2025) and $13.33 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.41 Bn |
| 10 | DuPont de Nemours | 17.55 Bn | 12.54 Bn | 639.00 Mn | 5.82 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.82 Bn |
| Mar 31, 2026 | 6.03 Bn |
| Dec 31, 2025 | 6.28 Bn |
| Sep 30, 2025 | 13.33 Bn |
| Jun 30, 2025 | 11.60 Bn |
| Mar 31, 2025 | 11.39 Bn |
| Dec 31, 2024 | 11.78 Bn |
| Sep 30, 2024 | 11.58 Bn |
| Jun 30, 2024 | 11.54 Bn |
| Mar 31, 2024 | 12.46 Bn |
| Dec 31, 2023 | 12.59 Bn |
| Sep 30, 2023 | 13.27 Bn |
| Jun 30, 2023 | 13.07 Bn |
| Mar 31, 2023 | 12.89 Bn |
| Dec 31, 2022 | 13.19 Bn |
| Sep 30, 2022 | 17.67 Bn |
| Jun 30, 2022 | 17.40 Bn |
| Mar 31, 2022 | 17.77 Bn |
| Dec 31, 2021 | 17.78 Bn |
| Sep 30, 2021 | 17.88 Bn |
DuPont de Nemours Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();