Reading International (RDI) Land & Improvements (2011 - 2022)
Reading International (RDI) reported Land & Improvements of $67.39 million for Q4 2022, down 3.0% from $69.46 million a year earlier but up 3.0% from the prior quarter.
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Analysis
Reading International (RDI) Land & Improvements (2011 - 2022) Analysis & Trends
Dating back to Q4 2011, Reading International's Land & Improvements record includes 44 quarters.
- Land & Improvements has a five-year compound annual growth rate of -2.5% (FY2017 to FY2022).
- By year, Land & Improvements came in at $69.46 million in FY2021 (-15.6%), $82.29 million in FY2020 (+8.8%), $75.66 million in FY2019 (unchanged) and $75.69 million in FY2018 (-1.0%).
- Five-year quarterly Land & Improvements spans a low of $65.4 million in Q3 2022 and a high of $82.29 million in Q4 2020.
- Year over year, Land & Improvements has now declined in each of the last seven quarters, with an average decline of 5.0% over the last eight quarters.
- The high point for year-over-year Land & Improvements in five years was Q4 2020 (growth of 8.8%); the low point was Q4 2021 (a decline of 15.6%).
- Per Business Quant data, the three quarters before Q4 2022 came in at $65.4 million (Q3 2022), $67.62 million (Q2 2022) and $70.38 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Live Nation Entertainment | 39.91 Bn | 8.98 Bn | 1.94 Bn | 3.39 Bn |
| 2 | TKO Group Holdings | 34.22 Bn | 31.19 Bn | 990.96 Mn | - |
| 3 | Liberty Media | 18.99 Bn | 14.30 Bn | 329.00 Mn | - |
| 4 | Liberty Live Holdings | 8.71 Bn | 6.76 Bn | 30.26 Mn | - |
| 5 | Madison Square Garden Entertainment | 3.24 Bn | 2.44 Bn | 75.84 Mn | - |
| 6 | Amc Entertainment Holdings | 2.16 Bn | 246.92 Mn | 1.05 Bn | - |
| 7 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn | - |
| 8 | Marcus | 858.07 Mn | 789.66 Mn | 106.56 Mn | 148.17 Mn |
| 9 | Reading International | 39.24 Mn | 9.55 Mn | 14.10 Mn | - |
| 10 | Nip | 30.39 Mn | -28,742.19 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();