Marcus (MCS) Operating Expenses (2010 - 2026)
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Analysis
Marcus (MCS) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.88 Bn | 7.38 Bn | 2.36 Bn | 1.27 Bn |
| 2 | Liberty Media | 25.35 Bn | 19.15 Bn | 494.00 Mn | 989.00 Mn |
| 3 | TKO Group Holdings | 13.90 Bn | 11.06 Bn | 871.13 Mn | 982.58 Mn |
| 4 | Liberty Live Holdings | 9.40 Bn | 7.31 Bn | 20.12 Mn | 117.53 Mn |
| 5 | Cinemark Holdings | 4.46 Bn | 870.56 Mn | - | 1.70 Bn |
| 6 | Madison Square Garden Entertainment | 3.67 Bn | 2.70 Bn | 90.38 Mn | 66.86 Mn |
| 7 | Amc Entertainment Holdings | 2.79 Bn | 494.56 Mn | 1.13 Bn | 1.46 Bn |
| 8 | Marcus | 821.34 Mn | 700.09 Mn | 113.63 Mn | 207.47 Mn |
| 9 | Reading International | 39.37 Mn | 9.48 Mn | 14.10 Mn | 59.42 Mn |
| 10 | Nip | 10.27 Mn | -30,357.31 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 207.47 Mn |
| Jun 30, 2026 | 204.68 Mn |
| Mar 31, 2026 | 173.67 Mn |
| Dec 31, 2025 | 191.76 Mn |
| Sep 30, 2025 | 187.42 Mn |
| Jun 30, 2025 | 193.04 Mn |
| Mar 31, 2025 | 169.18 Mn |
| Dec 26, 2024 | 190.50 Mn |
| Sep 26, 2024 | 199.89 Mn |
| Jun 27, 2024 | 173.80 Mn |
| Mar 28, 2024 | 155.21 Mn |
| Dec 28, 2023 | 160.36 Mn |
| Sep 28, 2023 | 187.83 Mn |
| Jun 29, 2023 | 186.20 Mn |
| Mar 30, 2023 | 161.26 Mn |
| Dec 29, 2022 | 165.69 Mn |
| Sep 29, 2022 | 174.70 Mn |
| Jun 30, 2022 | 179.66 Mn |
| Mar 31, 2022 | 149.04 Mn |
| Dec 30, 2021 | 155.00 Mn |
API Access
Marcus 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=MCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MCS", "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=MCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();