Newmarket (NEU) Land & Improvements (2010 - 2019)
Newmarket's Land & Improvements was $57.64 million in Q4 2019, up 4.9% from $54.94 million a year earlier.
Powered by 
Analysis
Newmarket (NEU) Land & Improvements (2010 - 2019) Analysis & Trends
From Q4 2010 onward, Newmarket has reported Land & Improvements for 10 quarters.
- Land & Improvements has now increased for five consecutive years, with a five-year compound annual growth rate of 12.8% (FY2014 to FY2019).
- In earlier years, Land & Improvements was $54.94 million in FY2018 (+21.7%), $45.14 million in FY2017 (+2.5%), $44.05 million in FY2016 (+37.3%) and $32.07 million in FY2015 (+1.6%).
- The Q4 2019 figure marks the highest quarterly Land & Improvements in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | Newmarket | 8.05 Bn | 7.70 Bn | 242.43 Mn | - |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();