Deep Isolation Nuclear (DBHL) Revenue (2024 - 2026)
Deep Isolation Nuclear's Revenue came in at $1.32 million for Q2 2026, down 19.3% from $1.63 million a year earlier and down 8.8% from the prior quarter.
Deep Isolation Nuclear (DBHL) Revenue (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Deep Isolation Nuclear reported Revenue of $10.59 million, down 14.8% year-over-year; for FY2025, it came in at $6.14 million, down 13.0% from FY2024.
- Going back by year, Revenue was $7.05 million in FY2024.
- The Q2 2026 figure represents the lowest quarterly Revenue in data going back to Q3 2024.
- Year-over-year, Revenue has declined for four consecutive quarters, with an average decline of 15.3% over the last four quarters.
- Business Quant data shows DBHL's Revenue at $1.45 million (Q1 2026), $6.14 million (Q4 2025) and $1.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 6.68 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 4.43 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 2.56 Bn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 1.74 Bn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 1.95 Bn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 543.75 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 186.66 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 12.89 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | 1.32 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | 272,824.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Mn |
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | 6.14 Mn |
| Sep 30, 2025 | 1.68 Mn |
| Jun 30, 2025 | 1.63 Mn |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 7.05 Mn |
| Sep 30, 2024 | 2.22 Mn |
Deep Isolation Nuclear Revenue 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=revenue&ticker=DBHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DBHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();