Reading International (RDI) Non-cash Items (2009 - 2010)
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Analysis
Reading International (RDI) Non-cash Items (2009 - 2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Live Nation Entertainment | 42.00 Bn | 9.65 Bn | 2.36 Bn |
| 2 | TKO Group Holdings | 37.65 Bn | 34.84 Bn | 871.13 Mn |
| 3 | Liberty Media | 23.31 Bn | 17.79 Bn | 494.00 Mn |
| 4 | Liberty Live Holdings | 9.54 Bn | 7.48 Bn | 20.12 Mn |
| 5 | Cinemark Holdings | 4.77 Bn | 1.20 Bn | - |
| 6 | Madison Square Garden Entertainment | 3.20 Bn | 2.23 Bn | 90.38 Mn |
| 7 | Amc Entertainment Holdings | 3.09 Bn | 790.41 Mn | 1.13 Bn |
| 8 | Marcus | 842.79 Mn | 721.54 Mn | 113.63 Mn |
| 9 | Reading International | 38.60 Mn | 8.91 Mn | 14.10 Mn |
| 10 | Nip | 16.85 Mn | -21.45 Mn | - |
API Access
Reading International Non-cash Items 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=non-cash-items&ticker=RDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=RDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();