Waste Connections (WCN) Accounts Payables (2010 - 2026)
Waste Connections (WCN) recorded Accounts Payables of $771.78 million in Q2 2026, up 5.7% from $729.89 million a year earlier and up 8.3% from the prior quarter.
Waste Connections (WCN) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Waste Connections reported Accounts Payables of $765.23 million, up 20.1% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- Across earlier years, Accounts Payables came in at $637.37 million in FY2024 (-0.8%), $642.46 million in FY2023 (+0.6%), $638.73 million in FY2022 (+62.6%) and $392.87 million in FY2021 (+35.1%).
- The Q2 2026 figure is the highest quarterly Accounts Payables in data going back to Q4 2010.
- On a year-over-year basis, Accounts Payables has increased for six consecutive quarters, with growth averaging 9.9% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 62.6% in Q4 2022, against a decline of 15.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $712.42 million (Q1 2026), $765.23 million (Q4 2025) and $759.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 1.99 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 1.44 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 771.78 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 518.19 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 1.80 Bn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 126.55 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 53.51 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 9.05 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 1.22 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 2.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 771.78 Mn |
| Mar 31, 2026 | 712.42 Mn |
| Dec 31, 2025 | 765.23 Mn |
| Sep 30, 2025 | 759.27 Mn |
| Jun 30, 2025 | 729.89 Mn |
| Mar 31, 2025 | 625.58 Mn |
| Dec 31, 2024 | 637.37 Mn |
| Sep 30, 2024 | 706.28 Mn |
| Jun 30, 2024 | 663.16 Mn |
| Mar 31, 2024 | 589.86 Mn |
| Dec 31, 2023 | 642.46 Mn |
| Sep 30, 2023 | 604.54 Mn |
| Jun 30, 2023 | 539.22 Mn |
| Mar 31, 2023 | 526.23 Mn |
| Dec 31, 2022 | 638.73 Mn |
| Sep 30, 2022 | 507.90 Mn |
| Jun 30, 2022 | 496.62 Mn |
| Mar 31, 2022 | 423.18 Mn |
| Dec 31, 2021 | 392.87 Mn |
| Sep 30, 2021 | 341.21 Mn |
Waste Connections Accounts Payables 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=accounts-payables&ticker=WCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "WCN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accounts-payables&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();