Waste Management (WM) Operating Expenses (2009 - 2026)
Waste Management's Operating Expenses was $5.43 billion in Q2 2026, up 2.9% from $5.28 billion a year earlier and up 6.2% from the prior quarter.
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Analysis
Waste Management (WM) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Waste Management's Operating Expenses was $21.16 billion through Jun 30, 2026, up 7.1% year-over-year; for FY2025, it was $20.9 billion, up 16.1% from FY2024.
- Operating Expenses has now increased for ten consecutive years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $18 billion in FY2024 (+6.8%), $16.85 billion in FY2023 (+3.2%), $16.33 billion in FY2022 (+9.1%) and $14.97 billion in FY2021 (+17.1%).
- Quarterly Operating Expenses has moved between $3.86 billion (Q3 2021) and $5.45 billion (Q3 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for 23 straight quarters, with growth averaging 11.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 0.9% in Q2 2023 to 21.5% in Q3 2025.
- Per Business Quant data, WM's Operating Expenses in the three quarters before Q2 2026 was $5.11 billion (Q1 2026), $5.16 billion (Q4 2025) and $5.45 billion (Q3 2025).
Peer Set
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 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 26.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.43 Bn |
| Mar 31, 2026 | 5.11 Bn |
| Dec 31, 2025 | 5.16 Bn |
| Sep 30, 2025 | 5.45 Bn |
| Jun 30, 2025 | 5.28 Bn |
| Mar 31, 2025 | 5.01 Bn |
| Dec 31, 2024 | 4.97 Bn |
| Sep 30, 2024 | 4.49 Bn |
| Jun 30, 2024 | 4.39 Bn |
| Mar 31, 2024 | 4.14 Bn |
| Dec 31, 2023 | 4.43 Bn |
| Sep 30, 2023 | 4.18 Bn |
| Jun 30, 2023 | 4.18 Bn |
| Mar 31, 2023 | 4.07 Bn |
| Dec 31, 2022 | 4.17 Bn |
| Sep 30, 2022 | 4.13 Bn |
| Jun 30, 2022 | 4.14 Bn |
| Mar 31, 2022 | 3.89 Bn |
| Dec 31, 2021 | 3.96 Bn |
| Sep 30, 2021 | 3.86 Bn |
API Access
Waste Management 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=WM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WM", "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=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();