Avalon Holdings (AWX) Operating Expenses (2010 - 2026)
Avalon Holdings (AWX) reported Operating Expenses of $2.6 million for Q2 2026, up 6.1% from $2.45 million a year earlier but down 3.1% from the prior quarter.
Avalon Holdings (AWX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Avalon Holdings' Operating Expenses came in at $10.78 million, up 7.7% year-over-year; for FY2025, it was $10.5 million, up 2.5% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $10.25 million in FY2024 (+0.2%), $10.23 million in FY2023 (+0.9%), $10.13 million in FY2022 (+2.6%) and $9.88 million in FY2021 (+13.9%).
- Five-year quarterly Operating Expenses spans a low of $2.27 million in Q1 2022 and a high of $2.91 million in Q3 2022.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 1.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 30.0%); the low point was Q4 2023 (a decline of 8.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.69 million (Q1 2026), $2.67 million (Q4 2025) and $2.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 5.43 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 448.00 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 538.77 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 214.57 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 600.10 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 523.78 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 66.50 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 4.00 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 3.95 Mn |
| 10 | Avalon Holdings | 8.42 Mn | -8.94 Mn | 4.89 Mn | 2.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.60 Mn |
| Mar 31, 2026 | 2.69 Mn |
| Dec 31, 2025 | 2.67 Mn |
| Sep 30, 2025 | 2.83 Mn |
| Jun 30, 2025 | 2.45 Mn |
| Mar 31, 2025 | 2.56 Mn |
| Dec 31, 2024 | 2.28 Mn |
| Sep 30, 2024 | 2.72 Mn |
| Jun 30, 2024 | 2.65 Mn |
| Mar 31, 2024 | 2.60 Mn |
| Dec 31, 2023 | 2.38 Mn |
| Sep 30, 2023 | 2.82 Mn |
| Jun 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 2.53 Mn |
| Dec 31, 2022 | 2.62 Mn |
| Sep 30, 2022 | 2.91 Mn |
| Jun 30, 2022 | 2.34 Mn |
| Mar 31, 2022 | 2.27 Mn |
| Dec 31, 2021 | 2.32 Mn |
| Sep 30, 2021 | 2.74 Mn |
Avalon Holdings Operating Expenses 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=operating-expenses&ticker=AWX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AWX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();