DuPont de Nemours (DD) Finished Goods (2016 - 2019)
DuPont de Nemours (DD) posted Finished Goods of $10.06 billion for Q1 2019, down 6.2% from $10.73 billion a year earlier but up 2.5% from the prior quarter.
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Analysis
DuPont de Nemours (DD) Finished Goods (2016 - 2019) Analysis & Trends
At the end of FY2018, DuPont de Nemours' Finished Goods came in at $9.81 billion, up 1.2% from FY2017.
- In prior years, DuPont de Nemours' Finished Goods was $9.7 billion in FY2017 (+129.3%) and $4.23 billion in FY2016.
- Quarterly Finished Goods has run from a low of $4.23 billion in Q4 2016 to a high of $10.73 billion in Q1 2018 over five years.
- On a year-over-year basis, Finished Goods increased in three of the last four quarters, with growth averaging 32.3%.
- According to Business Quant data, Finished Goods for the three prior quarters was $9.81 billion (Q4 2018), $9.54 billion (Q3 2018) and $9.3 billion (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn |
| 10 | DuPont de Nemours | 17.55 Bn | 12.54 Bn | 639.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 10.06 Bn |
| Dec 31, 2018 | 9.81 Bn |
| Sep 30, 2018 | 9.54 Bn |
| Jun 30, 2018 | 9.30 Bn |
| Mar 31, 2018 | 10.73 Bn |
| Dec 31, 2017 | 9.70 Bn |
| Sep 30, 2017 | 9.09 Bn |
| Dec 31, 2016 | 4.23 Bn |
API Access
DuPont de Nemours Finished Goods 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=finished-goods&ticker=DD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=DD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();