DuPont de Nemours (DD) Total Liabilities (2016 - 2026)
DuPont de Nemours (DD) posted Total Liabilities of $7.18 billion for Q2 2026, down 45.0% from $13.04 billion a year earlier and down 0.4% from the prior quarter.
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Analysis
DuPont de Nemours (DD) Total Liabilities (2016 - 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 Q2 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 17.4% 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 Q2 2026, with a decline of 45.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $7.21 billion (Q1 2026), $7.47 billion (Q4 2025) and $14.7 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.74 Bn |
| 10 | DuPont de Nemours | 17.55 Bn | 12.54 Bn | 639.00 Mn | 7.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 18.78 Bn |
API Access
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_KEYimport 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();