DuPont de Nemours (DD) Restructuring Costs (2016 - 2026)
DuPont de Nemours' Restructuring Costs was $2 million in Q1 2021, down 99.5% from $398 million a year earlier and down 95.2% from the prior quarter.
DuPont de Nemours (DD) Restructuring Costs (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, DuPont de Nemours' Restructuring Costs was $447 million through Mar 31, 2021, down 30.3% year-over-year; for FY2020, it was $849 million, up 170.4% from FY2019.
- Restructuring Costs shows a five-year compound annual growth rate of 8.7% (FY2015 to FY2020).
- In earlier years, Restructuring Costs was $314 million in FY2019 (+113.6%), $147 million in FY2018 (-49.0%), $288 million in FY2017 (-51.6%) and $595 million in FY2016 (+6.4%).
- The Q1 2021 figure marks the lowest quarterly Restructuring Costs since Q2 2017.
- Compared with a year earlier, Restructuring Costs was higher in five of the last eight quarters, with growth averaging 190.8%.
- The best year-over-year quarter for Restructuring Costs over five years was Q3 2019 (growth of 645.5%); the worst was Q1 2021 (a decline of 99.5%).
- Per Business Quant data, DD's Restructuring Costs in the three quarters before Q1 2021 was $42 million (Q4 2020), $384 million (Q3 2020) and $19 million (Q2 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 241.61 Bn | 223.75 Bn | 4.44 Bn |
| 2 | Corning | 102.99 Bn | 95.28 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 84.78 Bn | 83.80 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 70.25 Bn | 70.25 Bn | - |
| 5 | LyondellBasell Industries | 41.26 Bn | 29.44 Bn | 1.50 Bn |
| 6 | Nutrien | 34.33 Bn | 30.90 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.04 Bn | 20.10 Bn | 1.76 Bn |
| 8 | Ati | 24.89 Bn | 22.85 Bn | 380.20 Mn |
| 9 | Qnity Electronics | 24.53 Bn | 20.67 Bn | 743.00 Mn |
| 10 | DuPont de Nemours | 20.48 Bn | 15.66 Bn | 667.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.00 Mn |
| Jun 30, 2026 | 7.00 Mn |
| Mar 31, 2026 | 46.00 Mn |
| Dec 31, 2025 | 94.00 Mn |
| Sep 30, 2025 | 18.00 Mn |
| Jun 30, 2025 | 55.00 Mn |
| Mar 31, 2025 | 39.00 Mn |
| Dec 31, 2024 | 1.00 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Jun 30, 2024 | 8.00 Mn |
| Mar 31, 2024 | 39.00 Mn |
| Dec 31, 2023 | 98,999.96 Bn |
| Sep 30, 2023 | 8.00 Mn |
| Jun 30, 2023 | 17.00 Mn |
| Mar 31, 2023 | 14.00 Mn |
| Dec 31, 2022 | 54.00 Mn |
| Mar 31, 2022 | 101.00 Mn |
| Dec 31, 2021 | 42.00 Mn |
| Sep 30, 2021 | 1.00 Mn |
| Jun 30, 2021 | 5.00 Mn |
DuPont de Nemours Restructuring Costs 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=restructuring-costs&ticker=DD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();