Newmarket (NEU) Land & Improvements (2010 - 2019)
Newmarket's (NEU) quarterly Land & Improvements came in at $57.6 million in Q4 2019, up 4.91% year-over-year from $54.9 million in Q4 2018, and up 4.91% quarter-over-quarter from $54.9 million in Q4 2018.
Newmarket (NEU) Land & Improvements (2010 - 2019) Analysis & Trends
Newmarket has disclosed Land & Improvements across 10 years of filings, most recently posting $57.6 million for Q4 2019.
- In Q4 2019, Land & Improvements rose 4.91% year-over-year to $57.6 million; the TTM figure through Dec 2019 stood at $57.6 million (up 4.91% YoY), while the FY2019 annual figure was $57.6 million, up 4.91% from the prior year.
- Land & Improvements came in at $57.6 million for Q4 2019 at Newmarket, up from $54.9 million in the prior quarter.
- In the past five years, Land & Improvements ranged from a high of $57.6 million in Q4 2019 to a low of $32.1 million in Q4 2015.
- Average Land & Improvements over 5 years is $46.8 million, with a median of $45.1 million recorded in 2017.
- Year-over-year, Land & Improvements increased 1.64% in 2015 and jumped 37.33% in 2016.
- Over 5 years, Land & Improvements stood at $32.1 million in 2015, then soared by 37.33% to $44.0 million in 2016, then rose by 2.49% to $45.1 million in 2017, then gained by 21.69% to $54.9 million in 2018, then rose by 4.91% to $57.6 million in 2019.
- Per Business Quant data, the three most recent Land & Improvements figures were $57.6 million in Q4 2019, $54.9 million in Q4 2018, and $45.1 million in Q4 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 |
|---|---|
| Dec 31, 2019 | 57.64 Mn |
| Dec 31, 2018 | 54.94 Mn |
| Dec 31, 2017 | 45.14 Mn |
| Dec 31, 2016 | 44.05 Mn |
| Dec 31, 2015 | 32.07 Mn |
| Dec 31, 2014 | 31.56 Mn |
| Dec 31, 2013 | 31.98 Mn |
| Dec 31, 2012 | 31.45 Mn |
| Dec 31, 2011 | 31.11 Mn |
| Dec 31, 2010 | 39.30 Mn |
Newmarket Land & Improvements 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=land-and-improvements&ticker=NEU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=NEU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();