Deep Isolation Nuclear (DBHL) Capital Expenditures (2025 - 2026)
Deep Isolation Nuclear (DBHL) posted Capital Expenditures of $57,000 for Q2 2026, up 235.3% from the prior quarter.
Deep Isolation Nuclear (DBHL) Capital Expenditures (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Deep Isolation Nuclear was $148,000; for FY2025, it came in at $105,000.
- Quarterly Capital Expenditures has run from a low of $7,000 in Q3 2025 to a high of $67,000 in Q4 2025 over five years.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $17,000 (Q1 2026), $67,000 (Q4 2025) and $7,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 630.00 Mn |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | 392.00 Mn |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | 302.35 Mn |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | 126.20 Mn |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | -287.60 Mn |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 72.31 Mn |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 5.66 Mn |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | 1.82 Mn |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | 57,000.00 |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | 4.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57,000.00 |
| Mar 31, 2026 | 17,000.00 |
| Dec 31, 2025 | 67,000.00 |
| Sep 30, 2025 | 7,000.00 |
| Mar 31, 2025 | 31,000.00 |
Deep Isolation Nuclear Capital Expenditures 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=capital-expenditures&ticker=DBHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DBHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();