Waste Management (WM) EBITDA (2009 - 2026)
Waste Management (WM) posted EBITDA of $2.03 billion for Q2 2026, up 9.2% from $1.86 billion a year earlier and up 9.8% from the prior quarter.
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Analysis
Waste Management (WM) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Waste Management was $7.52 billion, up 10.4% year-over-year; for FY2025, it was $7.17 billion, up 13.3% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In prior years, Waste Management's EBITDA was $6.33 billion in FY2024 (+12.1%), $5.65 billion in FY2023 (+4.5%), $5.4 billion in FY2022 (+8.8%) and $4.96 billion in FY2021 (+20.9%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased in each of the last 23 quarters, with growth averaging 12.8% over the last eight quarters.
- The year-over-year growth in EBITDA has ranged between 0.1% (Q4 2023) and 22.5% (Q4 2025) over the last five years.
- According to Business Quant data, EBITDA for the three prior quarters was $1.85 billion (Q1 2026), $1.93 billion (Q4 2025) and $1.72 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 2.03 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 1.42 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 811.03 Mn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 390.70 Mn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 174.20 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 108.46 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 19.16 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | -6.02 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | -3.22 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | -26.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.03 Bn |
| Mar 31, 2026 | 1.85 Bn |
| Dec 31, 2025 | 1.93 Bn |
| Sep 30, 2025 | 1.72 Bn |
| Jun 30, 2025 | 1.86 Bn |
| Mar 31, 2025 | 1.70 Bn |
| Dec 31, 2024 | 1.57 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.55 Bn |
| Mar 31, 2024 | 1.53 Bn |
| Dec 31, 2023 | 1.31 Bn |
| Sep 30, 2023 | 1.54 Bn |
| Jun 30, 2023 | 1.47 Bn |
| Mar 31, 2023 | 1.33 Bn |
| Dec 31, 2022 | 1.31 Bn |
| Sep 30, 2022 | 1.45 Bn |
| Jun 30, 2022 | 1.40 Bn |
| Mar 31, 2022 | 1.25 Bn |
| Dec 31, 2021 | 1.23 Bn |
| Sep 30, 2021 | 1.32 Bn |
API Access
Waste Management EBITDA 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=ebitda&ticker=WM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();