Ryder System (R) Buildings (2010 - 2019)
Ryder System's Buildings was $904.57 million in Q4 2019, up 0.9% from $896.39 million a year earlier.
Powered by 
Analysis
Ryder System (R) Buildings (2010 - 2019) Analysis & Trends
From Q4 2010 onward, Ryder System has reported Buildings for 10 quarters.
- Buildings has now increased for six consecutive years, with a five-year compound annual growth rate of 3.4% (FY2014 to FY2019).
- In earlier years, Buildings was $896.39 million in FY2018 (+8.9%), $822.93 million in FY2017 (+1.7%), $808.91 million in FY2016 (+4.2%) and $776.3 million in FY2015 (+1.3%).
- The Q4 2019 figure marks the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 167.50 Bn | 162.03 Bn | - |
| 2 | Csx | 88.57 Bn | 84.77 Bn | - |
| 3 | United Parcel Service | 80.55 Bn | 57.44 Bn | - |
| 4 | Canadian Pacific Kansas City | 75.98 Bn | 75.00 Bn | - |
| 5 | Norfolk Southern | 72.12 Bn | 66.76 Bn | - |
| 6 | Fedex | 68.77 Bn | 34.71 Bn | - |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - |
| 8 | Old Dominion Freight Line | 38.02 Bn | 37.28 Bn | - |
| 9 | United Airlines Holdings | 33.53 Bn | -22.84 Bn | - |
| 10 | Ryder System | 9.22 Bn | 8.43 Bn | 660.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 904.57 Mn |
| Dec 31, 2018 | 896.39 Mn |
| Dec 31, 2017 | 822.93 Mn |
| Dec 31, 2016 | 808.91 Mn |
| Dec 31, 2015 | 776.30 Mn |
| Dec 31, 2014 | 766.36 Mn |
| Dec 31, 2013 | 715.97 Mn |
| Dec 31, 2012 | 716.74 Mn |
| Dec 31, 2011 | 699.81 Mn |
| Dec 31, 2010 | 695.81 Mn |
API Access
Ryder System 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=R&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "R", "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=R&period=max&api_key=YOUR_API_KEY");
const data = await res.json();