ContextLogic Holdings (LOGC) Cash & Equivalents (2024 - 2026)
ContextLogic Holdings (LOGC) recorded quarterly Cash & Equivalents of $11.0 million in Q2 2026, down 8.33% on a QoQ basis from $12.0 million in Q1 2026, and down 59.26% YoY from $27.0 million in Q2 2025.
ContextLogic Holdings (LOGC) Cash & Equivalents (2024 - 2026) Analysis & Trends
ContextLogic Holdings (LOGC) has reported Cash & Equivalents for 3 consecutive years, with $11.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Cash & Equivalents fell 59.26% year-over-year to $11.0 million; the trailing twelve-month figure through Jun 2026 stood at $11.0 million (down 59.26% YoY), and the FY2025 full-year result was $10.8 million, down 83.64% from the prior year.
- Cash & Equivalents was $11.0 million for Q2 2026 at ContextLogic Holdings, down from $12.0 million in the prior quarter.
- The five-year high for Cash & Equivalents was $103.0 million in Q2 2024, with the low at $10.8 million in Q4 2025.
- Historically, Cash & Equivalents has averaged $45.6 million across 3 years, with a median of $30.0 million in 2024.
- On a YoY basis, Cash & Equivalents climbed as much as 209.09% in 2025 and fell as far as 83.64% in 2025.
- Tracing LOGC's Cash & Equivalents over 3 years: stood at $66.0 million in 2024, then slumped by 83.64% to $10.8 million in 2025, then grew by 1.85% to $11.0 million in 2026.
- Per Business Quant data, the three most recent Cash & Equivalents figures were $11.0 million in Q2 2026, $12.0 million in Q1 2026, and $10.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Materion | 5.24 Bn | 5.22 Bn | 104.34 Mn | 19.99 Mn |
| 2 | United States Lime & Minerals | 3.26 Bn | 2.85 Bn | 46.72 Mn | 402.64 Mn |
| 3 | Minerals Technologies | 2.08 Bn | 1.77 Bn | 133.80 Mn | 342.20 Mn |
| 4 | Atlas Energy Solutions | 1.70 Bn | 1.53 Bn | 25.86 Mn | 168.22 Mn |
| 5 | Oil-Dri Corp of America | 1.29 Bn | 1.22 Bn | 33.73 Mn | 62.94 Mn |
| 6 | Compass Minerals International | 1.00 Bn | 946.20 Mn | 37.90 Mn | 56.30 Mn |
| 7 | ContextLogic Holdings | 678.84 Mn | 1.12 Bn | 16.30 Mn | 11.00 Mn |
| 8 | Guardian Metal Resources | 608.56 Mn | 608.56 Mn | - | 52.46 Mn |
| 9 | Nouveau Monde Graphite | 221.85 Mn | -111.13 Mn | - | 332.98 Mn |
| 10 | Graftech International | 214.48 Mn | 69.12 Mn | -422,000.00 | 145.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.00 Mn |
| Mar 31, 2026 | 12.00 Mn |
| Dec 31, 2025 | 10.80 Mn |
| Sep 30, 2025 | 102.00 Mn |
| Jun 30, 2025 | 27.00 Mn |
| Dec 31, 2024 | 66.00 Mn |
| Sep 30, 2024 | 33.00 Mn |
| Jun 30, 2024 | 103.00 Mn |
ContextLogic Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=LOGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LOGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();