Avalon Holdings (AWX) Total Liabilities (2010 - 2026)
Avalon Holdings (AWX) reported Total Liabilities of $49.62 million for Q2 2026, down 5.4% from $52.48 million a year earlier and down 4.4% from the prior quarter.
Avalon Holdings (AWX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Avalon Holdings posted Total Liabilities of $49.03 million, down 0.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $49.13 million in FY2024 (-5.3%), $51.87 million in FY2023 (+0.5%), $51.61 million in FY2022 (+32.1%) and $39.06 million in FY2021 (-4.7%).
- Five-year quarterly Total Liabilities spans a low of $39.04 million in Q3 2021 and a high of $56.41 million in Q1 2023.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with an average decline of 3.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2023 (growth of 37.9%); the low point was Q3 2021 (a decline of 6.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $51.88 million (Q1 2026), $49.03 million (Q4 2025) and $51.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 36.52 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 23.13 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 13.48 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 4.91 Bn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 13.99 Bn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 1.98 Bn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 536.90 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 43.51 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 1.98 Mn |
| 10 | Avalon Holdings | 8.42 Mn | -8.94 Mn | 4.89 Mn | 49.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.62 Mn |
| Mar 31, 2026 | 51.88 Mn |
| Dec 31, 2025 | 49.03 Mn |
| Sep 30, 2025 | 51.98 Mn |
| Jun 30, 2025 | 52.48 Mn |
| Mar 31, 2025 | 52.27 Mn |
| Dec 31, 2024 | 49.13 Mn |
| Sep 30, 2024 | 51.46 Mn |
| Jun 30, 2024 | 55.80 Mn |
| Mar 31, 2024 | 55.56 Mn |
| Dec 31, 2023 | 51.87 Mn |
| Sep 30, 2023 | 53.08 Mn |
| Jun 30, 2023 | 55.22 Mn |
| Mar 31, 2023 | 56.41 Mn |
| Dec 31, 2022 | 51.61 Mn |
| Sep 30, 2022 | 52.48 Mn |
| Jun 30, 2022 | 42.27 Mn |
| Mar 31, 2022 | 40.89 Mn |
| Dec 31, 2021 | 39.06 Mn |
| Sep 30, 2021 | 39.04 Mn |
Avalon Holdings Total Liabilities 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=total-liabilities&ticker=AWX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AWX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=AWX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();