Jbt Marel (JBTM) Buildings (2011 - 2020)
Jbt Marel (JBTM) reported Buildings of $138.3 million for Q4 2020, up 10.6% from $125.1 million a year earlier.
Analysis
Jbt Marel (JBTM) Buildings (2011 - 2020) Analysis & Trends
Dating back to Q4 2011, Jbt Marel's Buildings record includes 10 quarters.
- Buildings has increased for nine consecutive years, with a five-year compound annual growth rate of 9.6% (FY2015 to FY2020).
- By year, Buildings came in at $125.1 million in FY2019 (+12.9%), $110.8 million in FY2018 (+9.2%), $101.5 million in FY2017 (+9.5%) and $92.7 million in FY2016 (+5.8%).
- The Q4 2020 figure ranks as the highest quarterly Buildings in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn |
| 10 | Jbt Marel | 5.69 Bn | 5.10 Bn | 359.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 138.30 Mn |
| Dec 31, 2019 | 125.10 Mn |
| Dec 31, 2018 | 110.80 Mn |
| Dec 31, 2017 | 101.50 Mn |
| Dec 31, 2016 | 92.70 Mn |
| Dec 31, 2015 | 87.60 Mn |
| Dec 31, 2014 | 66.70 Mn |
| Dec 31, 2013 | 62.70 Mn |
| Dec 31, 2012 | 60.30 Mn |
| Dec 31, 2011 | 59.20 Mn |
API Access
Jbt Marel Buildings 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=buildings&ticker=JBTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "JBTM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();