Reading International (RDI) Operating Expenses (2010 - 2026)
Reading International (RDI) recorded Operating Expenses of $59.42 million in Q2 2026, up 3.4% from $57.49 million a year earlier and up 21.9% from the prior quarter.
Reading International (RDI) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Reading International's Operating Expenses came in at $211.92 million as of Jun 30, 2026, down 4.6% year-over-year; for FY2025, it came in at $208.3 million, down 7.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $224.56 million in FY2024 (-4.4%), $234.78 million in FY2023 (+1.4%), $231.6 million in FY2022 (+28.1%) and $180.85 million in FY2021 (+29.9%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with an average decline of 2.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 82.5% in Q4 2021, against a decline of 13.9% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $48.76 million (Q1 2026), $51.25 million (Q4 2025) and $52.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.51 Bn | 9.58 Bn | 1.94 Bn | 1.26 Bn |
| 2 | TKO Group Holdings | 34.58 Bn | 31.54 Bn | 990.96 Mn | 1.12 Bn |
| 3 | Liberty Media | 19.43 Bn | 14.75 Bn | 329.00 Mn | 846.00 Mn |
| 4 | Liberty Live Holdings | 8.93 Bn | 6.98 Bn | 30.26 Mn | 148.00 Mn |
| 5 | Madison Square Garden Entertainment | 3.31 Bn | 2.50 Bn | 75.84 Mn | 70.26 Mn |
| 6 | Amc Entertainment Holdings | 2.37 Bn | 456.31 Mn | 1.05 Bn | 1.36 Bn |
| 7 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn | 71.90 Mn |
| 8 | Marcus | 882.04 Mn | 813.63 Mn | 106.56 Mn | 204.68 Mn |
| 9 | Reading International | 41.78 Mn | 12.09 Mn | 14.10 Mn | 59.42 Mn |
| 10 | Nip | 31.30 Mn | -28,742.19 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.42 Mn |
| Mar 31, 2026 | 48.76 Mn |
| Dec 31, 2025 | 51.25 Mn |
| Sep 30, 2025 | 52.50 Mn |
| Jun 30, 2025 | 57.49 Mn |
| Mar 31, 2025 | 47.06 Mn |
| Dec 31, 2024 | 57.05 Mn |
| Sep 30, 2024 | 60.43 Mn |
| Jun 30, 2024 | 54.50 Mn |
| Mar 31, 2024 | 52.58 Mn |
| Dec 31, 2023 | 52.28 Mn |
| Sep 30, 2023 | 65.54 Mn |
| Jun 30, 2023 | 63.27 Mn |
| Mar 31, 2023 | 53.69 Mn |
| Dec 31, 2022 | 55.61 Mn |
| Sep 30, 2022 | 57.93 Mn |
| Jun 30, 2022 | 66.08 Mn |
| Mar 31, 2022 | 51.98 Mn |
| Dec 31, 2021 | 54.25 Mn |
| Sep 30, 2021 | 42.75 Mn |
Reading International Operating Expenses 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=operating-expenses&ticker=RDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();