Deep Isolation Nuclear (DBHL) Receivables (2023 - 2026)
Deep Isolation Nuclear's Receivables came in at $992,000 for Q2 2026, up 222.1% from $308,000 a year earlier but down 17.8% from the prior quarter.
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Analysis
Deep Isolation Nuclear (DBHL) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Deep Isolation Nuclear's Receivables was $714,000, down 35.7% from FY2024.
- Going back by year, Receivables was $1.11 million in FY2024 (+665.5%) and $145,000 in FY2023.
- The five-year range for quarterly Receivables is $145,000 (Q4 2023) to $1.66 million (Q3 2025).
- Year-over-year, Receivables increased in three of the last four quarters, with growth averaging 315.3%.
- Business Quant data shows DBHL's Receivables at $1.21 million (Q1 2026), $714,000 (Q4 2025) and $1.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 4.21 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 2.13 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 1.07 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 1.46 Bn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 983.30 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 220.37 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 199.45 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 19.62 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 992,000.00 |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 2.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 992,000.00 |
| Mar 31, 2026 | 1.21 Mn |
| Dec 31, 2025 | 714,000.00 |
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 308,000.00 |
| Mar 31, 2025 | 237,000.00 |
| Dec 31, 2024 | 1.11 Mn |
| Dec 31, 2023 | 145,000.00 |
API Access
Deep Isolation Nuclear Receivables 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=receivables&ticker=DBHL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DBHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();