United Parcel Service (UPS) Buildings (2009 - 2018)
United Parcel Service's Buildings came in at $265 million for Q4 2018, down 7.0% from $285 million a year earlier.
Analysis
United Parcel Service (UPS) Buildings (2009 - 2018) Analysis & Trends
Going back to Q4 2009, United Parcel Service's Buildings data covers 15 quarters.
- Buildings carries a five-year compound annual growth rate of 7.9% (FY2013 to FY2018).
- Going back by year, Buildings was $285 million in FY2017 (+50.0%), $190 million in FY2016 (-8.2%), $207 million in FY2015 (+5.1%) and $197 million in FY2014 (+8.8%).
- The Q4 2018 figure represents the lowest quarterly Buildings since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn |
| 10 | Copart | 25.14 Bn | 9.56 Bn | 645.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 265.00 Mn |
| Dec 31, 2017 | 285.00 Mn |
| Dec 31, 2016 | 190.00 Mn |
| Dec 31, 2015 | 207.00 Mn |
| Dec 31, 2014 | 197.00 Mn |
| Dec 31, 2013 | 181.00 Mn |
| Dec 31, 2012 | 65.00 Mn |
| Dec 31, 2011 | 24.00 Mn |
| Sep 30, 2011 | 3.09 Bn |
| Jun 30, 2011 | 3.14 Bn |
| Mar 31, 2011 | 3.14 Bn |
| Dec 31, 2010 | 3.10 Bn |
| Sep 30, 2010 | 3.10 Bn |
| Jun 30, 2010 | 3.08 Bn |
| Dec 31, 2009 | 3.08 Bn |
API Access
United Parcel Service 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=UPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "UPS", "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=UPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();