DuPont de Nemours (DD) Total Liabilities (2015 - 2026)
DuPont de Nemours (DD) posted Total Liabilities of $7.12 billion for Q3 2026, down 51.6% from $14.7 billion a year earlier and down 0.8% from the prior quarter.
DuPont de Nemours (DD) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, DuPont de Nemours' Total Liabilities came in at $7.47 billion, down 41.8% from FY2024.
- Annual Total Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -25.2% (FY2020 to FY2025).
- In prior years, DuPont de Nemours' Total Liabilities was $12.84 billion in FY2024 (-7.1%), $13.83 billion in FY2023 (-3.6%), $14.34 billion in FY2022 (-23.1%) and $18.66 billion in FY2021 (-41.4%).
- The Q3 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q4 2015.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 22.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2025, with growth of 14.8%; the weakest was Q3 2026, with a decline of 51.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $7.18 billion (Q2 2026), $7.21 billion (Q1 2026) and $7.47 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.61 Bn | 223.75 Bn | 4.44 Bn | 47.09 Bn |
| 2 | Corning | 102.99 Bn | 95.28 Bn | 1.81 Bn | 19.84 Bn |
| 3 | Sherwin Williams | 84.78 Bn | 83.80 Bn | 3.28 Bn | 22.98 Bn |
| 4 | Air Products & Chemicals | 70.25 Bn | 70.25 Bn | - | 24.06 Bn |
| 5 | LyondellBasell Industries | 41.26 Bn | 29.44 Bn | 1.50 Bn | 23.49 Bn |
| 6 | Nutrien | 34.33 Bn | 30.90 Bn | 1.86 Bn | 26.93 Bn |
| 7 | Ppg Industries | 27.04 Bn | 20.10 Bn | 1.76 Bn | 13.95 Bn |
| 8 | Ati | 24.89 Bn | 22.85 Bn | 380.20 Mn | 3.43 Bn |
| 9 | Qnity Electronics | 24.53 Bn | 20.67 Bn | 743.00 Mn | 6.83 Bn |
| 10 | DuPont de Nemours | 20.48 Bn | 15.66 Bn | 667.00 Mn | 7.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.12 Bn |
| Jun 30, 2026 | 7.18 Bn |
| Mar 31, 2026 | 7.21 Bn |
| Dec 31, 2025 | 7.47 Bn |
| Sep 30, 2025 | 14.70 Bn |
| Jun 30, 2025 | 13.04 Bn |
| Mar 31, 2025 | 12.71 Bn |
| Dec 31, 2024 | 12.84 Bn |
| Sep 30, 2024 | 12.80 Bn |
| Jun 30, 2024 | 12.79 Bn |
| Mar 31, 2024 | 13.71 Bn |
| Dec 31, 2023 | 13.83 Bn |
| Sep 30, 2023 | 14.51 Bn |
| Jun 30, 2023 | 14.24 Bn |
| Mar 31, 2023 | 14.05 Bn |
| Dec 31, 2022 | 14.34 Bn |
| Sep 30, 2022 | 18.60 Bn |
| Jun 30, 2022 | 18.30 Bn |
| Mar 31, 2022 | 18.60 Bn |
| Dec 31, 2021 | 18.66 Bn |
DuPont de Nemours Total 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-liabilities&ticker=DD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();