Cinemark Holdings (CNK) Accumulated Expenses (2010 - 2025)
Cinemark Holdings' Accumulated Expenses came in at $60.8 million for Q4 2025, down 21.9% from $77.8 million a year earlier.
Analysis
Cinemark Holdings (CNK) Accumulated Expenses (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Cinemark Holdings' Accumulated Expenses data covers 8 quarters.
- Accumulated Expenses carries a four-year compound annual growth rate of -13.3% (FY2021 to FY2025).
- Going back by year, Accumulated Expenses was $77.8 million in FY2024 (+21.2%), $64.2 million in FY2023 (-8.7%), $70.3 million in FY2022 (-34.6%) and $107.5 million in FY2021.
- The Q4 2025 figure represents the lowest quarterly Accumulated Expenses since Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.45 Bn | 6.95 Bn | 2.36 Bn |
| 2 | Liberty Media | 25.19 Bn | 19.00 Bn | 494.00 Mn |
| 3 | TKO Group Holdings | 14.19 Bn | 11.34 Bn | 871.13 Mn |
| 4 | Liberty Live Holdings | 9.33 Bn | 7.25 Bn | 20.12 Mn |
| 5 | Cinemark Holdings | 4.55 Bn | 961.17 Mn | - |
| 6 | Madison Square Garden Entertainment | 3.73 Bn | 2.76 Bn | 90.38 Mn |
| 7 | Amc Entertainment Holdings | 2.94 Bn | 637.09 Mn | 1.13 Bn |
| 8 | Marcus | 822.72 Mn | 701.47 Mn | 113.63 Mn |
| 9 | Reading International | 41.19 Mn | 11.30 Mn | 14.10 Mn |
| 10 | Nip | 10.43 Mn | -30,357.31 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 60.80 Mn |
| Dec 31, 2024 | 77.80 Mn |
| Dec 31, 2023 | 64.20 Mn |
| Dec 31, 2022 | 70.30 Mn |
| Dec 31, 2021 | 107.50 Mn |
| Dec 31, 2012 | 4.69 Mn |
| Dec 31, 2011 | 6.15 Mn |
| Dec 31, 2010 | 5.14 Mn |
API Access
Cinemark Holdings Accumulated 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=accumulated-expenses&ticker=CNK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CNK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();