Reading International (RDI) EV to EBITDA (2011 - 2026)
Reading International's (RDI) EV to EBITDA came in at 2.41 for Q2 2026, down 84.1% from the prior quarter.
Reading International (RDI) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Reading International was -0.28; for FY2019, it was 23.37, up 258.3% from FY2018.
- In prior years, Reading International's EV to EBITDA was 6.52 in FY2018 (-29.5%), 9.26 in FY2017 (-1.6%), 9.40 in FY2016 (+34.0%) and 7.02 in FY2015 (+13.2%).
- The Q2 2026 figure stands as the lowest quarterly EV to EBITDA since Q1 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.68 Bn | 8.69 Bn | 1.94 Bn |
| 2 | Liberty Media | 21.27 Bn | 15.83 Bn | 329.00 Mn |
| 3 | TKO Group Holdings | 13.42 Bn | 10.34 Bn | 990.96 Mn |
| 4 | Liberty Live Holdings | 8.91 Bn | 6.94 Bn | 30.26 Mn |
| 5 | Cinemark Holdings | 4.62 Bn | 1.22 Bn | - |
| 6 | Madison Square Garden Entertainment | 3.83 Bn | 3.03 Bn | 75.84 Mn |
| 7 | Amc Entertainment Holdings | 2.21 Bn | 293.86 Mn | 1.05 Bn |
| 8 | Marcus | 880.96 Mn | 812.55 Mn | 106.56 Mn |
| 9 | Reading International | 40.74 Mn | 10.84 Mn | 14.10 Mn |
| 10 | Nip | 17.52 Mn | -30,357.30 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.41 |
| Mar 31, 2026 | 1.67 |
| Dec 31, 2025 | 1.48 |
| Sep 30, 2025 | 2.02 |
| Jun 30, 2025 | 1.60 |
| Mar 31, 2025 | 14.36 |
| Dec 31, 2024 | 8.38 |
| Mar 31, 2024 | 4.80 |
| Dec 31, 2023 | 4.14 |
| Sep 30, 2023 | 5.70 |
| Mar 31, 2020 | 1.05 |
| Dec 31, 2019 | 6.81 |
| Sep 30, 2019 | 6.96 |
| Jun 30, 2019 | 7.43 |
| Mar 31, 2019 | 8.44 |
| Dec 31, 2018 | 6.52 |
| Sep 30, 2018 | 7.45 |
| Jun 30, 2018 | 8.08 |
| Mar 31, 2018 | 9.20 |
| Dec 31, 2017 | 9.56 |
Reading International EV to EBITDA 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=ev-to-ebitda&ticker=RDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=RDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();