Waste Management (WM) Retained Earnings (2009 - 2026)
Waste Management (WM) posted Retained Earnings of $17.98 billion for Q2 2026, up 8.6% from $16.55 billion a year earlier and up 2.3% from the prior quarter.
Waste Management (WM) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Waste Management's Retained Earnings came in at $17.23 billion, up 8.7% from FY2024.
- Annual Retained Earnings has increased for ten consecutive years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior years, Waste Management's Retained Earnings was $15.86 billion in FY2024 (+10.6%), $14.33 billion in FY2023 (+8.9%), $13.17 billion in FY2022 (+9.7%) and $12 billion in FY2021 (+7.6%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q2 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last 42 quarters, with growth averaging 9.3% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 7.2% (Q3 2021) and 10.6% (Q4 2024) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $17.57 billion (Q1 2026), $17.23 billion (Q4 2025) and $16.82 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 17.98 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 11.87 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 5.54 Bn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 2.99 Bn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | -218.50 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | -126.88 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | -284.84 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | -124.40 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | -40.96 Mn |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | -413.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.98 Bn |
| Mar 31, 2026 | 17.57 Bn |
| Dec 31, 2025 | 17.23 Bn |
| Sep 30, 2025 | 16.82 Bn |
| Jun 30, 2025 | 16.55 Bn |
| Mar 31, 2025 | 16.16 Bn |
| Dec 31, 2024 | 15.86 Bn |
| Sep 30, 2024 | 15.56 Bn |
| Jun 30, 2024 | 15.10 Bn |
| Mar 31, 2024 | 14.74 Bn |
| Dec 31, 2023 | 14.33 Bn |
| Sep 30, 2023 | 14.12 Bn |
| Jun 30, 2023 | 13.74 Bn |
| Mar 31, 2023 | 13.41 Bn |
| Dec 31, 2022 | 13.17 Bn |
| Sep 30, 2022 | 12.93 Bn |
| Jun 30, 2022 | 12.56 Bn |
| Mar 31, 2022 | 12.25 Bn |
| Dec 31, 2021 | 12.00 Bn |
| Sep 30, 2021 | 11.74 Bn |
Waste Management Retained Earnings 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=retained-earnings&ticker=WM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();