Waste Connections (WCN) Receivables (2010 - 2026)
Waste Connections' Receivables was $1.07 billion in Q2 2026, up 3.7% from $1.03 billion a year earlier and up 3.5% from the prior quarter.
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Analysis
Waste Connections (WCN) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Waste Connections came in at $1.02 billion, up 9.6% from FY2024.
- Receivables has now increased for five consecutive years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In earlier years, Receivables was $935.03 million in FY2024 (+9.1%), $856.95 million in FY2023 (+2.8%), $833.86 million in FY2022 (+17.5%) and $709.61 million in FY2021 (+12.6%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2010.
- Compared with a year earlier, Receivables has increased for 21 straight quarters, with growth averaging 8.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 2.8% (Q4 2023) to 22.8% (Q2 2022).
- Per Business Quant data, WCN's Receivables in the three quarters before Q2 2026 was $1.03 billion (Q1 2026), $1.02 billion (Q4 2025) and $1.07 billion (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 952.01 Mn |
| Dec 31, 2024 | 935.03 Mn |
| Sep 30, 2024 | 990.90 Mn |
| Jun 30, 2024 | 961.49 Mn |
| Mar 31, 2024 | 896.68 Mn |
| Dec 31, 2023 | 856.95 Mn |
| Sep 30, 2023 | 868.09 Mn |
| Jun 30, 2023 | 855.48 Mn |
| Mar 31, 2023 | 814.68 Mn |
| Dec 31, 2022 | 833.86 Mn |
| Sep 30, 2022 | 810.93 Mn |
| Jun 30, 2022 | 797.88 Mn |
| Mar 31, 2022 | 727.74 Mn |
| Dec 31, 2021 | 709.61 Mn |
| Sep 30, 2021 | 692.05 Mn |
API Access
Waste Connections 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=WCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=WCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();