DuPont de Nemours (DD) Accumulated Expenses (2016 - 2026)
DuPont de Nemours (DD) recorded Accumulated Expenses of $970 million in Q2 2026, down 15.4% from $1.15 billion a year earlier but up 16.4% from the prior quarter.
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Analysis
DuPont de Nemours (DD) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, DuPont de Nemours reported Accumulated Expenses of $882 million, up 12.5% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $784 million in FY2024 (-38.2%), $1.27 billion in FY2023 (+33.4%), $951 million in FY2022 (-8.6%) and $1.04 billion in FY2021 (-5.5%).
- Quarterly Accumulated Expenses has ranged from $784 million in Q4 2024 to $1.4 billion in Q2 2023 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in three of the last eight quarters, with an average decline of 8.8%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 45.4% in Q1 2024, against a decline of 38.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $833 million (Q1 2026), $882 million (Q4 2025) and $1.1 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn |
| 10 | DuPont de Nemours | 18.24 Bn | 13.23 Bn | 639.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 970.00 Mn |
| Mar 31, 2026 | 833.00 Mn |
| Dec 31, 2025 | 882.00 Mn |
| Sep 30, 2025 | 1.10 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 947.00 Mn |
| Dec 31, 2024 | 784.00 Mn |
| Sep 30, 2024 | 985.00 Mn |
| Jun 30, 2024 | 973.00 Mn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | 1.27 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 1.40 Bn |
| Mar 31, 2023 | 863.00 Mn |
| Dec 31, 2022 | 951.00 Mn |
| Sep 30, 2022 | 990.00 Mn |
| Jun 30, 2022 | 1.00 Bn |
| Mar 31, 2022 | 978.00 Mn |
| Dec 31, 2021 | 1.04 Bn |
| Sep 30, 2021 | 1.34 Bn |
API Access
DuPont de Nemours Accumulated Expenses 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=accumulated-expenses&ticker=DD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();