ContextLogic Holdings (LOGC) Operating Expenses (2024 - 2026)
ContextLogic Holdings (LOGC) recorded Operating Expenses of $43.1 million in Q2 2026, compared with $3.6 million a year earlier and up 50.7% from the prior quarter.
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Analysis
ContextLogic Holdings (LOGC) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, ContextLogic Holdings' Operating Expenses came in at $89.7 million as of Jun 30, 2026, up 531.7% year-over-year; for FY2025, it was $31 million, down 64.0% from FY2024.
- Across earlier years, Operating Expenses came in at $86 million in FY2024.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2024.
- On a year-over-year basis, Operating Expenses rose in two of the last four quarters, with growth averaging 221.9%.
- Per Business Quant, the preceding three quarters came in at $28.6 million (Q1 2026), $15 million (Q4 2025) and $3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | -780.00 Mn |
| 10 | ContextLogic Holdings | 686.06 Mn | 293.26 Mn | 16.30 Mn | 43.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.10 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();