Upbound (UPBD) Land & Improvements (2010 - 2018)
Upbound's Land & Improvements was $6.74 million in Q4 2018, down 0.1% from $6.75 million a year earlier.
Analysis
Upbound (UPBD) Land & Improvements (2010 - 2018) Analysis & Trends
From Q4 2010 onward, Upbound has reported Land & Improvements for 9 quarters.
- Land & Improvements shows a five-year compound annual growth rate of -0.3% (FY2013 to FY2018).
- In earlier years, Land & Improvements was $6.75 million in FY2017 (unchanged), $6.75 million in FY2016 (unchanged), $6.75 million in FY2015 (-1.5%) and $6.85 million in FY2014 (unchanged).
- The Q4 2018 figure marks the lowest quarterly Land & Improvements since Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Upbound | 915.30 Mn | 484.04 Mn | 594.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 6.74 Mn |
| Dec 31, 2017 | 6.75 Mn |
| Dec 31, 2016 | 6.75 Mn |
| Dec 31, 2015 | 6.75 Mn |
| Dec 31, 2014 | 6.85 Mn |
| Dec 31, 2013 | 6.85 Mn |
| Dec 31, 2012 | 5.30 Mn |
| Dec 31, 2011 | 5.30 Mn |
| Dec 31, 2010 | 5.30 Mn |
API Access
Upbound 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=UPBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "UPBD", "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=UPBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();