LQR House (YHC) Price to Book (2023 - 2026)
LQR House's (YHC) Price to Book came in at 0.02 for Q2 2026, down 92.2% from 0.24 a year earlier and down 97.4% from the prior quarter.
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Analysis
LQR House (YHC) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, LQR House's Price to Book stood at 0.22.
- In prior years, LQR House's Price to Book was 0.16 in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Price to Book in data going back to Q3 2023.
- On a year-over-year basis, Price to Book increased in two of the last six quarters, with an average decline of 32.7%.
- According to Business Quant data, Price to Book for the three prior quarters was 0.73 (Q1 2026), 0.22 (Q4 2025) and 0.33 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn |
| 10 | LQR House | 274,109.43 | 31.28 Mn | 45,902.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Mar 31, 2026 | 0.73 |
| Dec 31, 2025 | 0.22 |
| Sep 30, 2025 | 0.33 |
| Jun 30, 2025 | 0.24 |
| Mar 31, 2025 | 0.60 |
| Sep 30, 2024 | 0.33 |
| Jun 30, 2024 | 0.45 |
| Mar 31, 2024 | 0.50 |
| Dec 31, 2023 | 0.16 |
| Sep 30, 2023 | 59.16 |
API Access
LQR House 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=YHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "YHC", "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=YHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();