Avalon Holdings (AWX) Cost of Revenue (2009 - 2026)
Avalon Holdings' Cost of Revenue was $16.01 million in Q2 2026, down 0.5% from $16.08 million a year earlier but up 8.3% from the prior quarter.
Avalon Holdings (AWX) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Avalon Holdings' Cost of Revenue was $68.23 million through Jun 30, 2026, up 9.0% year-over-year; for FY2025, it came in at $67.21 million, up 1.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $66.57 million in FY2024 (-0.3%), $66.74 million in FY2023 (+8.1%), $61.72 million in FY2022 (+18.5%) and $52.08 million in FY2021 (+17.8%).
- Quarterly Cost of Revenue has moved between $8.22 million (Q2 2023) and $38.87 million (Q4 2023) over five years.
- Compared with a year earlier, Cost of Revenue was higher in four of the last eight quarters, with growth averaging 6.0%.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2023 (growth of 126.3%); the worst was Q4 2024 (a decline of 62.6%).
- Per Business Quant data, AWX's Cost of Revenue in the three quarters before Q2 2026 was $14.78 million (Q1 2026), $17.79 million (Q4 2025) and $19.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.39 Bn | 93.32 Bn | 2.75 Bn | 4.09 Bn |
| 2 | Republic Services | 75.41 Bn | 75.02 Bn | 1.90 Bn | 2.66 Bn |
| 3 | Waste Connections | 47.83 Bn | 47.48 Bn | 1.14 Bn | 1.50 Bn |
| 4 | GFL Environmental | 15.73 Bn | 15.73 Bn | 304.74 Mn | 1.23 Bn |
| 5 | Clean Harbors | 15.30 Bn | 12.64 Bn | 661.44 Mn | 1.21 Bn |
| 6 | Casella Waste Systems | 5.92 Bn | 5.24 Bn | 184.65 Mn | 374.58 Mn |
| 7 | Onterris | 832.01 Mn | 777.91 Mn | 88.27 Mn | 114.78 Mn |
| 8 | Enviri | 710.17 Mn | 67.28 Mn | -162.22 Mn | 487.25 Mn |
| 9 | Oio | 619.48 Mn | 617.91 Mn | - | - |
| 10 | Avalon Holdings | 9.37 Mn | -9.82 Mn | 6.80 Mn | 17.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.49 Mn |
| Jun 30, 2026 | 16.01 Mn |
| Mar 31, 2026 | 14.78 Mn |
| Dec 31, 2025 | 17.79 Mn |
| Sep 30, 2025 | 19.64 Mn |
| Jun 30, 2025 | 16.08 Mn |
| Mar 31, 2025 | 13.69 Mn |
| Dec 31, 2024 | 14.55 Mn |
| Sep 30, 2024 | 18.27 Mn |
| Jun 30, 2024 | 17.95 Mn |
| Mar 31, 2024 | 15.80 Mn |
| Dec 31, 2023 | 38.87 Mn |
| Sep 30, 2023 | 9.26 Mn |
| Jun 30, 2023 | 8.22 Mn |
| Mar 31, 2023 | 10.38 Mn |
| Dec 31, 2022 | 17.18 Mn |
| Sep 30, 2022 | 18.68 Mn |
| Jun 30, 2022 | 14.22 Mn |
| Mar 31, 2022 | 11.63 Mn |
| Dec 31, 2021 | 13.67 Mn |
Avalon Holdings Cost of 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=cost-of-revenue&ticker=AWX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AWX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();