Deep Isolation Nuclear (DBHL) Receivables - Net (2023 - 2026)
Deep Isolation Nuclear (DBHL) posted Receivables - Net of $465,000 for Q2 2026, up 232.1% from $140,000 a year earlier but down 21.6% from the prior quarter.
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Analysis
Deep Isolation Nuclear (DBHL) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Deep Isolation Nuclear's Receivables - Net came in at $439,000, down 56.1% from FY2024.
- In prior years, Deep Isolation Nuclear's Receivables - Net was $999,000 in FY2024 (+589.0%) and $145,000 in FY2023.
- Quarterly Receivables - Net has run from a low of $136,000 in Q1 2025 to a high of $1.52 million in Q3 2025 over five years.
- On a year-over-year basis, Receivables - Net increased in three of the last four quarters, with growth averaging 275.3%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $593,000 (Q1 2026), $439,000 (Q4 2025) and $1.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 93.10 Bn | 92.01 Bn | 2.73 Bn |
| 2 | Republic Services | 71.62 Bn | 71.24 Bn | 1.87 Bn |
| 3 | Waste Connections | 42.92 Bn | 42.55 Bn | 1.08 Bn |
| 4 | Clean Harbors | 16.71 Bn | 13.72 Bn | 608.78 Mn |
| 5 | GFL Environmental | 16.39 Bn | 14.50 Bn | 385.80 Mn |
| 6 | Casella Waste Systems | 5.97 Bn | 5.09 Bn | 178.80 Mn |
| 7 | Onterris | 503.25 Mn | 462.52 Mn | 82.26 Mn |
| 8 | Perma Fix Environmental Services | 245.92 Mn | 137.48 Mn | -2.50 Mn |
| 9 | Comstock | 132.67 Mn | -367,261.50 | -896,073.00 |
| 10 | Deep Isolation Nuclear | 98.60 Mn | 98.60 Mn | 707,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 465,000.00 |
| Mar 31, 2026 | 593,000.00 |
| Dec 31, 2025 | 439,000.00 |
| Sep 30, 2025 | 1.52 Mn |
| Jun 30, 2025 | 140,000.00 |
| Mar 31, 2025 | 136,000.00 |
| Dec 31, 2024 | 999,000.00 |
| Dec 31, 2023 | 145,000.00 |
API Access
Deep Isolation Nuclear Receivables - Net 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-net&ticker=DBHL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=DBHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();