Comstock (LODE) Accumulated Expenses (2010 - 2026)
Comstock's Accumulated Expenses was $4.04 million in Q2 2026, down 5.9% from $4.29 million a year earlier but up 8.4% from the prior quarter.
Analysis
Comstock (LODE) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Comstock came in at $4.85 million, up 8.4% from FY2024.
- Accumulated Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 55.4% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $4.47 million in FY2024 (+95.9%), $2.28 million in FY2023 (+32.8%), $1.72 million in FY2022 (+83.0%) and $939,443 in FY2021 (+75.6%).
- Quarterly Accumulated Expenses has moved between $419,580 (Q3 2021) and $6.05 million (Q3 2024) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 34.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2023 (growth of 264.8%); the worst was Q3 2025 (a decline of 36.9%).
- Per Business Quant data, LODE's Accumulated Expenses in the three quarters before Q2 2026 was $3.73 million (Q1 2026), $4.85 million (Q4 2025) and $3.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.04 Mn |
| Mar 31, 2026 | 3.73 Mn |
| Dec 31, 2025 | 4.85 Mn |
| Sep 30, 2025 | 3.82 Mn |
| Jun 30, 2025 | 4.29 Mn |
| Mar 31, 2025 | 3.40 Mn |
| Dec 31, 2024 | 4.47 Mn |
| Sep 30, 2024 | 6.05 Mn |
| Jun 30, 2024 | 3.13 Mn |
| Mar 31, 2024 | 3.25 Mn |
| Dec 31, 2023 | 2.28 Mn |
| Sep 30, 2023 | 2.33 Mn |
| Jun 30, 2023 | 2.38 Mn |
| Mar 31, 2023 | 2.15 Mn |
| Dec 31, 2022 | 1.72 Mn |
| Sep 30, 2022 | 638,532.00 |
| Jun 30, 2022 | 907,913.00 |
| Mar 31, 2022 | 986,400.00 |
| Dec 31, 2021 | 939,443.00 |
| Sep 30, 2021 | 419,580.00 |
API Access
Comstock Accumulated 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=accumulated-expenses&ticker=LODE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LODE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();