Comstock (LODE) Operating Expenses (2010 - 2026)
Powered by 
Analysis
Comstock (LODE) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.63 Bn | 93.46 Bn | 2.75 Bn | 5.57 Bn |
| 2 | Republic Services | 75.64 Bn | 75.25 Bn | 1.90 Bn | 451.00 Mn |
| 3 | Waste Connections | 47.71 Bn | 47.36 Bn | 1.14 Bn | 593.34 Mn |
| 4 | GFL Environmental | 17.07 Bn | 15.08 Bn | - | 650.40 Mn |
| 5 | Clean Harbors | 15.22 Bn | 12.57 Bn | 661.44 Mn | 217.09 Mn |
| 6 | Casella Waste Systems | 6.29 Bn | 5.41 Bn | 178.80 Mn | 523.78 Mn |
| 7 | Onterris | 815.06 Mn | 760.96 Mn | 88.27 Mn | 67.19 Mn |
| 8 | Perma Fix Environmental Services | 327.18 Mn | 219.92 Mn | 552,000.00 | 4.22 Mn |
| 9 | Comstock | 145.90 Mn | 5.12 Mn | -606,061.00 | -2.77 Mn |
| 10 | Deep Isolation Nuclear | 103.79 Mn | 103.79 Mn | 707,000.00 | 3.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2.77 Mn |
| Jun 30, 2026 | 26.04 Mn |
| Mar 31, 2026 | 8.66 Mn |
| Dec 31, 2025 | 13.00 Mn |
| Sep 30, 2025 | 9.94 Mn |
| Jun 30, 2025 | 7.19 Mn |
| Mar 31, 2025 | 6.94 Mn |
| Dec 31, 2024 | 16.99 Mn |
| Sep 30, 2024 | 14.17 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Mar 31, 2024 | 5.08 Mn |
| Dec 31, 2023 | 4.72 Mn |
| Sep 30, 2023 | -1.91 Mn |
| Jun 30, 2023 | 5.97 Mn |
| Mar 31, 2023 | 5.11 Mn |
| Dec 31, 2022 | 6.24 Mn |
| Sep 30, 2022 | 2.96 Mn |
| Jun 30, 2022 | 5.90 Mn |
| Mar 31, 2022 | 4.44 Mn |
| Dec 31, 2021 | 3.50 Mn |
API Access
Comstock 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=LODE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LODE", "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=LODE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();