Reading International (RDI) Land & Improvements (2011 - 2022)
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Analysis
Reading International (RDI) Land & Improvements (2011 - 2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.88 Bn | 7.38 Bn | 2.36 Bn | 3.77 Bn |
| 2 | Liberty Media | 25.35 Bn | 19.15 Bn | 494.00 Mn | - |
| 3 | TKO Group Holdings | 13.90 Bn | 11.06 Bn | 871.13 Mn | - |
| 4 | Liberty Live Holdings | 9.40 Bn | 7.31 Bn | 20.12 Mn | - |
| 5 | Cinemark Holdings | 4.46 Bn | 870.56 Mn | - | - |
| 6 | Madison Square Garden Entertainment | 3.67 Bn | 2.70 Bn | 90.38 Mn | - |
| 7 | Amc Entertainment Holdings | 2.79 Bn | 494.56 Mn | 1.13 Bn | - |
| 8 | Marcus | 821.34 Mn | 700.09 Mn | 113.63 Mn | 148.57 Mn |
| 9 | Reading International | 39.37 Mn | 9.48 Mn | 14.10 Mn | - |
| 10 | Nip | 10.27 Mn | -30,357.31 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 67.39 Mn |
| Sep 30, 2022 | 65.40 Mn |
| Jun 30, 2022 | 67.62 Mn |
| Mar 31, 2022 | 70.38 Mn |
| Dec 31, 2021 | 69.46 Mn |
| Sep 30, 2021 | 69.42 Mn |
| Jun 30, 2021 | 70.60 Mn |
| Mar 31, 2021 | 71.01 Mn |
| Dec 31, 2020 | 82.29 Mn |
| Sep 30, 2020 | 76.44 Mn |
| Jun 30, 2020 | 72.79 Mn |
| Mar 31, 2020 | 70.01 Mn |
| Dec 31, 2019 | 75.66 Mn |
| Sep 30, 2019 | 73.68 Mn |
| Jun 30, 2019 | 75.52 Mn |
| Mar 31, 2019 | 76.11 Mn |
| Dec 31, 2018 | 75.69 Mn |
| Sep 30, 2018 | 76.47 Mn |
| Jun 30, 2018 | 77.42 Mn |
| Mar 31, 2018 | 76.13 Mn |
API Access
Reading International 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=RDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "RDI", "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=RDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();