Reading International (RDI) Inventory (2010 - 2026)
Reading International's Inventory was $1.74 million in Q2 2026, up 14.2% from $1.52 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Reading International (RDI) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Reading International came in at $1.66 million, down 1.2% from FY2024.
- Inventory shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier years, Inventory was $1.69 million in FY2024 (+2.2%), $1.65 million in FY2023 (+2.0%), $1.62 million in FY2022 (+14.8%) and $1.41 million in FY2021 (+33.0%).
- The Q2 2026 figure marks the highest quarterly Inventory in data going back to Q4 2010.
- Compared with a year earlier, Inventory was higher in six of the last eight quarters, with growth averaging 7.8%.
- The best year-over-year quarter for Inventory over five years was Q1 2022 (growth of 50.7%); the worst was Q2 2024 (a decline of 11.5%).
- Per Business Quant data, RDI's Inventory in the three quarters before Q2 2026 was $1.63 million (Q1 2026), $1.66 million (Q4 2025) and $1.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (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 | 1.74 Mn |
| 10 | Nip | 31.30 Mn | -28,742.19 Bn | - | 7,014.41 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 Mn |
| Mar 31, 2026 | 1.63 Mn |
| Dec 31, 2025 | 1.66 Mn |
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 1.52 Mn |
| Mar 31, 2025 | 1.44 Mn |
| Dec 31, 2024 | 1.69 Mn |
| Sep 30, 2024 | 1.71 Mn |
| Jun 30, 2024 | 1.35 Mn |
| Mar 31, 2024 | 1.32 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.49 Mn |
| Jun 30, 2023 | 1.52 Mn |
| Mar 31, 2023 | 1.42 Mn |
| Dec 31, 2022 | 1.62 Mn |
| Sep 30, 2022 | 1.36 Mn |
| Jun 30, 2022 | 1.47 Mn |
| Mar 31, 2022 | 1.35 Mn |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 1.12 Mn |
API Access
Reading International Inventory 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=inventory&ticker=RDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=RDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();