Newmarket (NEU) Finished Goods (2009 - 2018)
Newmarket's (NEU) quarterly Finished Goods came in at $317.3 million in Q3 2018, up 1.75% year-over-year from $311.8 million in Q3 2017, and up 2.2% quarter-over-quarter from $310.4 million in Q2 2018.
Newmarket (NEU) Finished Goods (2009 - 2018) Analysis & Trends
Newmarket has disclosed Finished Goods across 10 years of filings, most recently posting $317.3 million for Q3 2018.
- In Q3 2018, Finished Goods rose 1.75% year-over-year to $317.3 million; the TTM figure through Sep 2018 stood at $317.3 million (up 1.75% YoY), while the FY2017 annual figure was $319.0 million, up 25.57% from the prior year.
- Finished Goods came in at $317.3 million for Q3 2018 at Newmarket, up from $310.4 million in the prior quarter.
- In the past five years, Finished Goods ranged from a high of $328.8 million in Q1 2018 to a low of $249.2 million in Q2 2016.
- Average Finished Goods over 5 years is $287.3 million, with a median of $291.6 million recorded in 2015.
- Year-over-year, Finished Goods dropped 13.28% in 2016 and grew 25.57% in 2017.
- Over 5 years, Finished Goods stood at $292.2 million in 2014, then advanced by 0.26% to $293.0 million in 2015, then dropped by 13.28% to $254.1 million in 2016, then advanced by 25.57% to $319.0 million in 2017, then slipped by 0.55% to $317.3 million in 2018.
- Per Business Quant data, the three most recent Finished Goods figures were $317.3 million in Q3 2018, $310.4 million in Q2 2018, and $328.8 million in Q1 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - |
| 10 | Newmarket | 8.20 Bn | 8.11 Bn | 242.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 317.28 Mn |
| Jun 30, 2018 | 310.44 Mn |
| Mar 31, 2018 | 328.78 Mn |
| Dec 31, 2017 | 319.04 Mn |
| Sep 30, 2017 | 311.82 Mn |
| Jun 30, 2017 | 296.59 Mn |
| Mar 31, 2017 | 273.57 Mn |
| Dec 31, 2016 | 254.07 Mn |
| Sep 30, 2016 | 270.08 Mn |
| Jun 30, 2016 | 249.24 Mn |
| Mar 31, 2016 | 253.44 Mn |
| Dec 31, 2015 | 292.98 Mn |
| Sep 30, 2015 | 291.57 Mn |
| Jun 30, 2015 | 283.93 Mn |
| Mar 31, 2015 | 291.87 Mn |
| Dec 31, 2014 | 292.21 Mn |
| Sep 30, 2014 | 277.75 Mn |
| Jun 30, 2014 | 273.46 Mn |
| Mar 31, 2014 | 271.40 Mn |
| Dec 31, 2013 | 257.45 Mn |
Newmarket 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=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "NEU", "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=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();