Reading International (RDI) Buildings (2011 - 2022)
Reading International's Buildings came in at $213.23 million for Q4 2022, down 2.9% from $219.58 million a year earlier but up 3.6% from the prior quarter.
Analysis
Reading International (RDI) Buildings (2011 - 2022) Analysis & Trends
Going back to Q4 2011, Reading International's Buildings data covers 44 quarters.
- Buildings carries a five-year compound annual growth rate of 6.8% (FY2017 to FY2022).
- Going back by year, Buildings was $219.58 million in FY2021 (-13.4%), $253.42 million in FY2020 (+69.1%), $149.85 million in FY2019 (+0.1%) and $149.73 million in FY2018 (-2.3%).
- The five-year range for quarterly Buildings is $132.7 million (Q1 2020) to $253.42 million (Q4 2020).
- Year-over-year, Buildings has declined for six consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- The fastest year-over-year change in Buildings over five years came in Q4 2020 (growth of 69.1%), and the weakest in Q4 2021 (a decline of 13.4%).
- Business Quant data shows RDI's Buildings at $205.9 million (Q3 2022), $213.16 million (Q2 2022) and $222.73 million (Q1 2022) in the three quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.51 Bn | 9.58 Bn | 1.94 Bn |
| 2 | TKO Group Holdings | 34.58 Bn | 31.54 Bn | 990.96 Mn |
| 3 | Liberty Media | 19.43 Bn | 14.75 Bn | 329.00 Mn |
| 4 | Liberty Live Holdings | 8.93 Bn | 6.98 Bn | 30.26 Mn |
| 5 | Madison Square Garden Entertainment | 3.31 Bn | 2.50 Bn | 75.84 Mn |
| 6 | Amc Entertainment Holdings | 2.37 Bn | 456.31 Mn | 1.05 Bn |
| 7 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn |
| 8 | Marcus | 882.04 Mn | 813.63 Mn | 106.56 Mn |
| 9 | Reading International | 41.78 Mn | 12.09 Mn | 14.10 Mn |
| 10 | Nip | 31.30 Mn | -28,742.19 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 213.23 Mn |
| Sep 30, 2022 | 205.90 Mn |
| Jun 30, 2022 | 213.16 Mn |
| Mar 31, 2022 | 222.73 Mn |
| Dec 31, 2021 | 219.58 Mn |
| Sep 30, 2021 | 219.24 Mn |
| Jun 30, 2021 | 225.60 Mn |
| Mar 31, 2021 | 223.00 Mn |
| Dec 31, 2020 | 253.42 Mn |
| Sep 30, 2020 | 240.38 Mn |
| Jun 30, 2020 | 145.77 Mn |
| Mar 31, 2020 | 132.70 Mn |
| Dec 31, 2019 | 149.85 Mn |
| Sep 30, 2019 | 143.41 Mn |
| Jun 30, 2019 | 149.21 Mn |
| Mar 31, 2019 | 151.53 Mn |
| Dec 31, 2018 | 149.73 Mn |
| Sep 30, 2018 | 152.05 Mn |
| Jun 30, 2018 | 151.20 Mn |
| Mar 31, 2018 | 152.35 Mn |
API Access
Reading International 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=RDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=RDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();