Waste Management (WM) Change in Accured Expenses (2009 - 2026)
Waste Management (WM) recorded Change in Accured Expenses of $312 million in Q2 2026, down 5.2% from $329 million a year earlier.
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Analysis
Waste Management (WM) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Waste Management's Change in Accured Expenses came in at $133 million as of Jun 30, 2026, down 44.1% year-over-year; for FY2025, it came in at $41 million, down 85.4% from FY2024.
- Across earlier years, Change in Accured Expenses came in at $281 million in FY2024 (+212.2%), $90 million in FY2023 (-77.1%), $393 million in FY2022 (+90.8%) and $206 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$287 million in Q1 2025 to $329 million in Q2 2025 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last five quarters, with growth averaging 67.9%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 388.9% in Q4 2024, against a decline of 95.5% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$178 million (Q1 2026), $6 million (Q4 2025) and -$7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 312.00 Mn |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | - |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | - |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | - |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | - |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 13.68 Mn |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 4.80 Mn |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | 2.63 Mn |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | -39,000.00 |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | 209,267.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.00 Mn |
| Mar 31, 2026 | -178.00 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 30, 2025 | -7.00 Mn |
| Jun 30, 2025 | 329.00 Mn |
| Mar 31, 2025 | -287.00 Mn |
| Dec 31, 2024 | 132.00 Mn |
| Sep 30, 2024 | 64.00 Mn |
| Jun 30, 2024 | 187.00 Mn |
| Mar 31, 2024 | -102.00 Mn |
| Dec 31, 2023 | 27.00 Mn |
| Sep 30, 2023 | 85.00 Mn |
| Jun 30, 2023 | 123.00 Mn |
| Mar 31, 2023 | -145.00 Mn |
| Dec 31, 2022 | 68.00 Mn |
| Sep 30, 2022 | 75.00 Mn |
| Jun 30, 2022 | 149.00 Mn |
| Mar 31, 2022 | 101.00 Mn |
| Dec 31, 2021 | -183.00 Mn |
| Sep 30, 2021 | 176.00 Mn |
API Access
Waste Management Change in Accured 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=change-in-accured-expenses&ticker=WM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();