Avalon Holdings (AWX) Total Non-Current Liabilities (2013 - 2026)
Avalon Holdings' Total Non-Current Liabilities was $49.52 million in Q2 2026, down 5.5% from $52.38 million a year earlier and down 4.4% from the prior quarter.
Avalon Holdings (AWX) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Avalon Holdings came in at $48.93 million, down 0.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $49.03 million in FY2024 (-5.3%), $51.77 million in FY2023 (+0.5%), $51.51 million in FY2022 (+32.2%) and $38.96 million in FY2021 (-4.7%).
- Quarterly Total Non-Current Liabilities has moved between $38.94 million (Q3 2021) and $56.31 million (Q1 2023) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 3.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2023 (growth of 38.0%); the worst was Q3 2021 (a decline of 6.1%).
- Per Business Quant data, AWX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $51.78 million (Q1 2026), $48.93 million (Q4 2025) and $51.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 33.19 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 20.48 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 12.82 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 3.75 Bn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 12.06 Bn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 1.78 Bn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 530.71 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 16.13 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | - |
| 10 | Avalon Holdings | 8.42 Mn | -8.94 Mn | 4.89 Mn | 49.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.52 Mn |
| Mar 31, 2026 | 51.78 Mn |
| Dec 31, 2025 | 48.93 Mn |
| Sep 30, 2025 | 51.88 Mn |
| Jun 30, 2025 | 52.38 Mn |
| Mar 31, 2025 | 52.17 Mn |
| Dec 31, 2024 | 49.03 Mn |
| Sep 30, 2024 | 51.36 Mn |
| Jun 30, 2024 | 55.70 Mn |
| Mar 31, 2024 | 55.46 Mn |
| Dec 31, 2023 | 51.77 Mn |
| Sep 30, 2023 | 52.98 Mn |
| Jun 30, 2023 | 55.12 Mn |
| Mar 31, 2023 | 56.31 Mn |
| Dec 31, 2022 | 51.51 Mn |
| Sep 30, 2022 | 52.38 Mn |
| Jun 30, 2022 | 42.17 Mn |
| Mar 31, 2022 | 40.79 Mn |
| Dec 31, 2021 | 38.96 Mn |
| Sep 30, 2021 | 38.94 Mn |
Avalon Holdings Total Non-Current 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-non-current-liabilities&ticker=AWX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AWX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();