Waste Management (WM) Change in Receivables (2009 - 2026)
Waste Management's Change in Receivables was $254 million in Q2 2026, down 32.1% from $374 million a year earlier.
Waste Management (WM) Change in Receivables (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Waste Management's Change in Receivables was $412 million through Jun 30, 2026, down 19.1% year-over-year; for FY2025, it was $511 million, up 63.3% from FY2024.
- Change in Receivables shows a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- In earlier years, Change in Receivables was $313 million in FY2024 (+94.4%), $161 million in FY2023 (-51.1%), $329 million in FY2022 and -$28 million in FY2021.
- Quarterly Change in Receivables has moved between -$176 million (Q1 2024) and $374 million (Q2 2025) over five years.
- Compared with a year earlier, Change in Receivables was higher in three of the last five quarters, with an average decline of 0.1%.
- The best year-over-year quarter for Change in Receivables over five years was Q3 2023 (growth of 607.7%); the worst was Q3 2021 (a decline of 70.6%).
- Per Business Quant data, WM's Change in Receivables in the three quarters before Q2 2026 was -$30 million (Q1 2026), $58 million (Q4 2025) and $130 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 92.20 Bn | 91.11 Bn | 2.73 Bn | 254.00 Mn |
| 2 | Republic Services | 70.80 Bn | 70.41 Bn | 1.87 Bn | 122.00 Mn |
| 3 | Waste Connections | 42.69 Bn | 42.31 Bn | 1.08 Bn | - |
| 4 | Clean Harbors | 16.85 Bn | 13.86 Bn | 608.78 Mn | 157.47 Mn |
| 5 | GFL Environmental | 16.11 Bn | 14.22 Bn | 385.80 Mn | - |
| 6 | Casella Waste Systems | 5.74 Bn | 4.86 Bn | 178.80 Mn | 37.25 Mn |
| 7 | Onterris | 503.07 Mn | 462.35 Mn | 82.26 Mn | 17.50 Mn |
| 8 | Perma Fix Environmental Services | 247.80 Mn | 139.36 Mn | -2.50 Mn | 511,000.00 |
| 9 | Comstock | 138.36 Mn | 5.32 Mn | -896,073.00 | 1.03 Mn |
| 10 | Deep Isolation Nuclear | 109.56 Mn | 109.56 Mn | 707,000.00 | -124,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 254.00 Mn |
| Mar 31, 2026 | -30.00 Mn |
| Dec 31, 2025 | 58.00 Mn |
| Sep 30, 2025 | 130.00 Mn |
| Jun 30, 2025 | 374.00 Mn |
| Mar 31, 2025 | -51.00 Mn |
| Dec 31, 2024 | 83.00 Mn |
| Sep 30, 2024 | 103.00 Mn |
| Jun 30, 2024 | 303.00 Mn |
| Mar 31, 2024 | -176.00 Mn |
| Dec 31, 2023 | -36.00 Mn |
| Sep 30, 2023 | 92.00 Mn |
| Jun 30, 2023 | 243.00 Mn |
| Mar 31, 2023 | -138.00 Mn |
| Dec 31, 2022 | 228.00 Mn |
| Sep 30, 2022 | 13.00 Mn |
| Jun 30, 2022 | 181.00 Mn |
| Mar 31, 2022 | -93.00 Mn |
| Dec 31, 2021 | -84.00 Mn |
| Sep 30, 2021 | 32.00 Mn |
Waste Management Change in 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=change-in-receivables&ticker=WM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();