Primo Brands (PRMB) Price to Book (2023 - 2026)
Primo Brands' Price to Book came in at 2.97 for Q2 2026, down 12.7% from 3.41 a year earlier but up 28.6% from the prior quarter.
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Analysis
Primo Brands (PRMB) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Primo Brands' Price to Book was 1.99, down 41.4% from FY2024.
- Going back by year, Price to Book was 3.39 in FY2024 (-99.8%), 2114.30 in FY2023 and 25.20 in FY2022.
- The five-year range for quarterly Price to Book is 1.99 (Q4 2025) to 2114.30 (Q4 2023).
- Year-over-year, Price to Book has declined for three consecutive quarters, with an average decline of 49.1% over the last four quarters.
- Business Quant data shows PRMB's Price to Book at 2.31 (Q1 2026), 1.99 (Q4 2025) and 2.59 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 394.76 Bn | 381.23 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.90 Bn | 193.90 Bn | 2.06 Bn |
| 3 | Pepsico | 175.24 Bn | 133.00 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.77 Bn | 77.03 Bn | 1.42 Bn |
| 5 | Diageo | 52.19 Bn | 32.26 Bn | - |
| 6 | Ambev | 50.68 Bn | 35.97 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.06 Bn | 42.72 Bn | - |
| 8 | Keurig Dr Pepper | 46.50 Bn | 42.54 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.07 Bn | 21.62 Bn | 1.39 Bn |
| 10 | Primo Brands | 6.91 Bn | 5.45 Bn | 548.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.97 |
| Mar 31, 2026 | 2.31 |
| Dec 31, 2025 | 1.99 |
| Sep 30, 2025 | 2.59 |
| Jun 30, 2025 | 3.41 |
| Mar 31, 2025 | 4.01 |
| Dec 31, 2024 | 3.39 |
| Dec 31, 2023 | 2,114.30 |
API Access
Primo Brands 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=PRMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PRMB", "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=PRMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();