ContextLogic Holdings (LOGC) Operating Expenses (2024 - 2026)
ContextLogic Holdings (LOGC) recorded quarterly Operating Expenses of $43.1 million in Q2 2026, up 50.7% on a QoQ basis from $28.6 million in Q1 2026, and up 1097.22% YoY from $3.6 million in Q2 2025.
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Analysis
ContextLogic Holdings (LOGC) Operating Expenses (2024 - 2026) Analysis & Trends
ContextLogic Holdings (LOGC) has reported Operating Expenses for 3 consecutive years, with $43.1 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Expenses rose 1097.22% year-over-year to $43.1 million; the trailing twelve-month figure through Jun 2026 stood at $89.7 million (up 531.69% YoY), and the FY2025 full-year result was $31.0 million, down 63.95% from the prior year.
- Operating Expenses was $43.1 million for Q2 2026 at ContextLogic Holdings, up from $28.6 million in the prior quarter.
- The five-year high for Operating Expenses was $43.1 million in Q2 2026, with the low at $3.0 million in Q3 2024.
- Historically, Operating Expenses has averaged $13.8 million across 3 years, with a median of $4.0 million in 2024.
- Annual changes were most pronounced in 2025 — Operating Expenses sank 82.0% — and 2026, when it jumped 1097.22%.
- Tracing LOGC's Operating Expenses over 3 years: stood at $4.0 million in 2024, then jumped by 275.0% to $15.0 million in 2025, then surged by 187.33% to $43.1 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $43.1 million in Q2 2026, $28.6 million in Q1 2026, and $15.0 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Materion | 5.24 Bn | 5.22 Bn | 104.34 Mn | 49.21 Mn |
| 2 | United States Lime & Minerals | 3.26 Bn | 2.85 Bn | 46.72 Mn | 6.07 Mn |
| 3 | Minerals Technologies | 2.08 Bn | 1.77 Bn | 133.80 Mn | 349.20 Mn |
| 4 | Atlas Energy Solutions | 1.70 Bn | 1.53 Bn | 25.86 Mn | 84.36 Mn |
| 5 | Oil-Dri Corp of America | 1.29 Bn | 1.22 Bn | 33.73 Mn | 16.64 Mn |
| 6 | Compass Minerals International | 1.00 Bn | 946.20 Mn | 37.90 Mn | 27.00 Mn |
| 7 | ContextLogic Holdings | 678.84 Mn | 1.12 Bn | 16.30 Mn | 43.10 Mn |
| 8 | Guardian Metal Resources | 608.56 Mn | 608.56 Mn | - | - |
| 9 | Nouveau Monde Graphite | 221.85 Mn | -111.13 Mn | - | 2.73 Mn |
| 10 | Graftech International | 214.48 Mn | 69.12 Mn | -422,000.00 | 14.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.10 Mn |
| Mar 31, 2026 | 28.60 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 3.60 Mn |
| Dec 31, 2024 | 4.00 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 20.00 Mn |
API Access
ContextLogic Holdings Operating Expenses 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=operating-expenses&ticker=LOGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LOGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();