RLJ Lodging Trust (RLJ) Land & Improvements (2018 - 2020)
RLJ Lodging Trust (RLJ) recorded Land & Improvements of $1.09 billion in Q2 2020, down 0.7% from $1.1 billion a year earlier and unchanged from the prior quarter.
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Analysis
RLJ Lodging Trust (RLJ) Land & Improvements (2018 - 2020) Analysis & Trends
Starting with Q4 2018, RLJ Lodging Trust's Land & Improvements history includes 6 quarters.
- Across earlier years, Land & Improvements came in at $1.21 billion in FY2018.
- Quarterly Land & Improvements has ranged from $1.09 billion in Q4 2019 to $1.21 billion in Q4 2018 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.09 billion (Q1 2020), $1.09 billion (Q4 2019) and $1.1 billion (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | RLJ Lodging Trust | 1.68 Bn | -378.92 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 1.09 Bn |
| Mar 31, 2020 | 1.09 Bn |
| Dec 31, 2019 | 1.09 Bn |
| Sep 30, 2019 | 1.10 Bn |
| Jun 30, 2019 | 1.10 Bn |
| Dec 31, 2018 | 1.21 Bn |
API Access
RLJ Lodging Trust 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=RLJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "RLJ", "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=RLJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();