Marcus (MCS) Price to Earnings (2011 - 2026)
Marcus' (MCS) Price to Earnings came in at 31.79 for Q2 2026, down 10.8% from 35.65 a year earlier and down 14.6% from the prior quarter.
Analysis
Marcus (MCS) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Marcus' Price to Earnings stood at 38.08.
- In prior years, Marcus' Price to Earnings was 31.44 in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Price to Earnings since Q4 2023.
- According to Business Quant data, Price to Earnings for the three prior quarters was 37.22 (Q1 2026), 38.08 (Q4 2025) and 62.39 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Live Nation Entertainment | 39.33 Bn | 8.40 Bn | 1.94 Bn |
| 2 | TKO Group Holdings | 33.53 Bn | 30.49 Bn | 990.96 Mn |
| 3 | Liberty Media | 18.77 Bn | 14.09 Bn | 329.00 Mn |
| 4 | Liberty Live Holdings | 8.61 Bn | 6.67 Bn | 30.26 Mn |
| 5 | Cinemark Holdings | 4.19 Bn | 810.39 Mn | - |
| 6 | Madison Square Garden Entertainment | 3.24 Bn | 2.43 Bn | 75.84 Mn |
| 7 | Amc Entertainment Holdings | 1.99 Bn | 80.86 Mn | 1.05 Bn |
| 8 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn |
| 9 | Marcus | 832.56 Mn | 764.15 Mn | 106.56 Mn |
| 10 | Reading International | 40.30 Mn | 10.61 Mn | 14.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.79 |
| Mar 31, 2026 | 37.22 |
| Dec 31, 2025 | 38.08 |
| Sep 30, 2025 | 62.39 |
| Jun 30, 2025 | 35.65 |
| Mar 28, 2024 | 36.69 |
| Dec 28, 2023 | 31.44 |
| Sep 28, 2023 | 71.04 |
| Sep 29, 2022 | 117.02 |
| Jun 30, 2022 | 205.72 |
| Mar 26, 2020 | 20.43 |
| Dec 26, 2019 | 23.79 |
| Sep 26, 2019 | 26.56 |
| Jun 27, 2019 | 22.51 |
| Mar 28, 2019 | 26.47 |
| Dec 27, 2018 | 20.27 |
| Sep 27, 2018 | 14.71 |
| Jun 28, 2018 | 12.33 |
| Mar 29, 2018 | 12.95 |
| Dec 28, 2017 | 11.63 |
API Access
Marcus Price to Earnings 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=price-to-earnings&ticker=MCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();