ContextLogic Holdings (LOGC) Price to Book (2024 - 2026)
ContextLogic Holdings' (LOGC) Price to Book came in at 0.55 for Q2 2026, down 44.8% from 1.00 a year earlier but up 12.2% from the prior quarter.
Analysis
ContextLogic Holdings (LOGC) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, ContextLogic Holdings' Price to Book stood at 1.10, up 5.3% from FY2024.
- In prior years, ContextLogic Holdings' Price to Book was 1.04 in FY2024.
- Quarterly Price to Book has run from a low of 0.49 in Q1 2026 to a high of 1.51 in Q3 2025 over five years.
- On a year-over-year basis, Price to Book increased in three of the last five quarters, with an average decline of 5.4%.
- According to Business Quant data, Price to Book for the three prior quarters was 0.49 (Q1 2026), 1.10 (Q4 2025) and 1.51 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - |
| 10 | ContextLogic Holdings | 690.17 Mn | 297.37 Mn | 16.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.55 |
| Mar 31, 2026 | 0.49 |
| Dec 31, 2025 | 1.10 |
| Sep 30, 2025 | 1.51 |
| Jun 30, 2025 | 1.00 |
| Mar 31, 2025 | 1.03 |
| Dec 31, 2024 | 1.04 |
| Sep 30, 2024 | 0.94 |
| Jun 30, 2024 | 0.97 |
API Access
ContextLogic Holdings 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=LOGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "LOGC", "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=LOGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();