Waste Management (WM) Receivables (2009 - 2026)
Waste Management (WM) posted Receivables of $4.21 billion for Q2 2026, up 7.0% from $3.93 billion a year earlier and up 6.1% from the prior quarter.
Waste Management (WM) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Waste Management's Receivables came in at $4.06 billion, up 10.0% from FY2024.
- Annual Receivables has increased for four consecutive years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Waste Management's Receivables was $3.69 billion in FY2024 (+28.5%), $2.87 billion in FY2023 (+4.3%), $2.75 billion in FY2022 (+0.8%) and $2.73 billion in FY2021 (-2.5%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q2 2009.
- On a year-over-year basis, Receivables has increased in each of the last 18 quarters, with growth averaging 20.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2025, with growth of 33.6%; the weakest was Q4 2021, with a decline of 13.1%.
- According to Business Quant data, Receivables for the three prior quarters was $3.96 billion (Q1 2026), $4.06 billion (Q4 2025) and $4.02 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 4.21 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 2.13 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 1.07 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 1.46 Bn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 983.30 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 220.37 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 199.45 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 19.62 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 992,000.00 |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 2.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.21 Bn |
| Mar 31, 2026 | 3.96 Bn |
| Dec 31, 2025 | 4.06 Bn |
| Sep 30, 2025 | 4.02 Bn |
| Jun 30, 2025 | 3.93 Bn |
| Mar 31, 2025 | 3.59 Bn |
| Dec 31, 2024 | 3.38 Bn |
| Sep 30, 2024 | 3.13 Bn |
| Jun 30, 2024 | 2.98 Bn |
| Mar 31, 2024 | 2.69 Bn |
| Dec 31, 2023 | 2.76 Bn |
| Sep 30, 2023 | 2.92 Bn |
| Jun 30, 2023 | 2.85 Bn |
| Mar 31, 2023 | 2.61 Bn |
| Dec 31, 2022 | 2.60 Bn |
| Sep 30, 2022 | 2.68 Bn |
| Jun 30, 2022 | 2.67 Bn |
| Mar 31, 2022 | 2.48 Bn |
| Dec 31, 2021 | 2.43 Bn |
| Sep 30, 2021 | 2.67 Bn |
Waste Management Receivables 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=receivables&ticker=WM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();