Comstock (LODE) Operating Expenses (2010 - 2026)
Comstock's Operating Expenses came in at $26.04 million for Q2 2026, up 262.0% from $7.19 million a year earlier and up 200.8% from the prior quarter.
Comstock (LODE) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Comstock reported Operating Expenses of $57.64 million, up 27.3% year-over-year; for FY2025, it was $37.08 million, down 12.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $42.23 million in FY2024 (+204.3%), $13.88 million in FY2023 (-29.0%), $19.54 million in FY2022 (+179.3%) and $7 million in FY2021 (+24.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses increased in five of the last seven quarters, with growth averaging 78.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 262.0%), and the weakest in Q3 2025 (a decline of 29.8%).
- Business Quant data shows LODE's Operating Expenses at $8.66 million (Q1 2026), $13 million (Q4 2025) and $9.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 5.43 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 448.00 Mn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 538.77 Mn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 214.57 Mn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 600.10 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 523.78 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 66.50 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 4.00 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | 3.95 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | 26.04 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 2.08 Mn |
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_KEY
import 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();