National CineMedia (NCMI) Price to Earnings (2011 - 2024)
National CineMedia's Price to Earnings was 2.50 in Q2 2024, compared with 0.11 a year earlier and up 259.5% from the prior quarter.
Analysis
National CineMedia (NCMI) Price to Earnings (2011 - 2024) Analysis & Trends
For FY2023, Price to Earnings at National CineMedia came in at 0.29.
- In earlier years, Price to Earnings was 15.51 in FY2019 (-4.7%).
- The Q2 2024 figure marks the highest quarterly Price to Earnings since Q2 2020.
- Per Business Quant data, NCMI's Price to Earnings in the three quarters before Q2 2024 was 0.69 (Q1 2024), 0.29 (Q4 2023) and 0.41 (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.60 Bn | 63.26 Bn | 4.10 Bn |
| 2 | Fox | 26.84 Bn | 12.75 Bn | - |
| 3 | Omnicom | 20.35 Bn | 3.05 Bn | 1.30 Bn |
| 4 | News | 15.97 Bn | 8.16 Bn | - |
| 5 | Paramount Skydance | 10.53 Bn | 8.45 Bn | - |
| 6 | Pearson | 10.25 Bn | 7.39 Bn | - |
| 7 | New York Times | 10.06 Bn | 7.55 Bn | 394.61 Mn |
| 8 | Sirius Xm Holdings | 8.67 Bn | 8.25 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.97 Bn | 5.91 Bn | - |
| 10 | National CineMedia | 198.33 Mn | 30.13 Mn | 54.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2024 | 2.50 |
| Mar 28, 2024 | 0.69 |
| Dec 28, 2023 | 0.29 |
| Sep 28, 2023 | 0.41 |
| Jun 29, 2023 | 0.11 |
| Jun 25, 2020 | 21.74 |
| Mar 26, 2020 | 8.61 |
| Dec 26, 2019 | 15.51 |
| Sep 26, 2019 | 19.45 |
| Jun 27, 2019 | 13.91 |
| Mar 28, 2019 | 17.79 |
| Dec 27, 2018 | 16.27 |
| Sep 27, 2018 | 15.00 |
| Jun 28, 2018 | 11.61 |
| Mar 29, 2018 | 6.92 |
| Dec 28, 2017 | 8.87 |
| Sep 28, 2017 | 17.11 |
| Jun 29, 2017 | 18.74 |
| Mar 30, 2017 | 30.91 |
| Dec 29, 2016 | 42.97 |
API Access
National CineMedia 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=NCMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "NCMI", "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=NCMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();