Deep Isolation Nuclear (DBHL) Operating Expenses (2022 - 2026)
Deep Isolation Nuclear (DBHL) recorded Operating Expenses of $3.95 million in Q2 2026, up 76.0% from $2.25 million a year earlier but down 37.8% from the prior quarter.
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Analysis
Deep Isolation Nuclear (DBHL) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Deep Isolation Nuclear's Operating Expenses came in at $16.31 million as of Jun 30, 2026, up 193.0% year-over-year; for FY2025, it came in at $9.27 million, up 108.2% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 417.6% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $4.45 million in FY2024, $41,850 in FY2023 (-21.5%), $53,329 in FY2022 (+312.8%) and $12,918 in FY2021.
- Quarterly Operating Expenses has ranged from $7,742 in Q1 2022 to $6.35 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 232.5% over the last four quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 521.7% in Q1 2026, against a decline of 47.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.35 million (Q1 2026), $3.48 million (Q4 2025) and $2.52 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.95 Mn |
| Mar 31, 2026 | 6.35 Mn |
| Dec 31, 2025 | 3.48 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 2.25 Mn |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 1.42 Mn |
| Sep 30, 2024 | 879,000.00 |
| Jun 30, 2024 | 10,939.00 |
| Mar 31, 2024 | 11,091.00 |
| Dec 31, 2023 | 10,811.00 |
| Sep 30, 2023 | 10,570.00 |
| Jun 30, 2023 | 12,653.00 |
| Mar 31, 2023 | 7,816.00 |
| Dec 31, 2022 | 15,000.00 |
| Sep 30, 2022 | 20,181.00 |
| Jun 30, 2022 | 10,406.00 |
| Mar 31, 2022 | 7,742.00 |
API Access
Deep Isolation Nuclear 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=DBHL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DBHL", "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=DBHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();