National CineMedia (NCMI) Price to Book (2023 - 2026)
National CineMedia's (NCMI) Price to Book came in at 1.12 for Q2 2027, down 14.5% from 1.31 a year earlier but up 37.1% from the prior quarter.
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Analysis
National CineMedia (NCMI) Price to Book (2023 - 2026) Analysis & Trends
For FY2026, National CineMedia's Price to Book stood at 0.97.
- In prior years, National CineMedia's Price to Book was 1.57 in FY2024 (+229.7%) and 0.48 in FY2023.
- Quarterly Price to Book has run from a low of 0.81 in Q1 2027 to a high of 1.55 in Q1 2026 over five years.
- According to Business Quant data, Price to Book for the three prior quarters was 0.81 (Q1 2027), 0.97 (Q4 2026) and 1.24 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Skydance | 40.81 Bn | 33.65 Bn | 2.37 Bn |
| 2 | Fox | 28.36 Bn | 14.11 Bn | - |
| 3 | Omnicom | 24.24 Bn | 6.32 Bn | 1.36 Bn |
| 4 | News | 14.40 Bn | 7.03 Bn | - |
| 5 | New York Times | 11.56 Bn | 8.99 Bn | 395.07 Mn |
| 6 | Pearson | 10.96 Bn | 8.09 Bn | - |
| 7 | Sirius Xm Holdings | 10.86 Bn | 10.31 Bn | 1.43 Bn |
| 8 | Nexstar Media | 6.37 Bn | 5.01 Bn | 1.20 Bn |
| 9 | Wpp | 6.05 Bn | -5.75 Bn | - |
| 10 | National CineMedia | 152.91 Mn | -18.19 Mn | 58.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 1, 2026 | 0.63 |
| Jul 2, 2026 | 1.12 |
| Apr 2, 2026 | 0.81 |
| Jan 1, 2026 | 0.97 |
| Sep 25, 2025 | 1.24 |
| Jun 26, 2025 | 1.31 |
| Mar 27, 2025 | 1.55 |
| Dec 26, 2024 | 1.57 |
| Sep 26, 2024 | 1.73 |
| Jun 27, 2024 | 1.04 |
| Mar 28, 2024 | 1.24 |
| Dec 28, 2023 | 0.48 |
| Sep 28, 2023 | 0.68 |
API Access
National CineMedia Price to Book 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-book&ticker=NCMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=NCMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();