Clean Harbors (CLH) Receivables (2009 - 2026)
Clean Harbors' Receivables came in at $1.46 billion for Q2 2026, up 12.9% from $1.3 billion a year earlier and up 12.1% from the prior quarter.
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Analysis
Clean Harbors (CLH) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Clean Harbors' Receivables was $1.21 billion, up 2.3% from FY2024.
- Receivables has increased in each of the last five years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, Receivables was $1.18 billion in FY2024 (+19.8%), $983.11 million in FY2023 (+1.9%), $964.6 million in FY2022 (+21.7%) and $792.73 million in FY2021 (+29.6%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2009.
- Year-over-year, Receivables has increased for 11 consecutive quarters, with growth averaging 13.1% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q2 2022 (growth of 52.5%), and the weakest in Q2 2023 (a decline of 2.4%).
- Business Quant data shows CLH's Receivables at $1.31 billion (Q1 2026), $1.21 billion (Q4 2025) and $1.29 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 82.59 Bn | 81.50 Bn | 2.73 Bn | 4.21 Bn |
| 2 | Republic Services | 65.21 Bn | 64.82 Bn | 1.87 Bn | 2.13 Bn |
| 3 | Waste Connections | 39.38 Bn | 39.00 Bn | 1.08 Bn | 1.07 Bn |
| 4 | Clean Harbors | 16.54 Bn | 13.55 Bn | 608.78 Mn | 1.46 Bn |
| 5 | GFL Environmental | 15.37 Bn | 13.05 Bn | 385.80 Mn | 983.30 Mn |
| 6 | Casella Waste Systems | 5.11 Bn | 4.23 Bn | 178.80 Mn | 220.37 Mn |
| 7 | Onterris | 512.61 Mn | 471.88 Mn | 82.26 Mn | 199.45 Mn |
| 8 | Perma Fix Environmental Services | 331.69 Mn | 223.25 Mn | -2.50 Mn | 19.62 Mn |
| 9 | Deep Isolation Nuclear | 204.72 Mn | 204.72 Mn | 707,000.00 | 992,000.00 |
| 10 | Comstock | 185.32 Mn | 188.64 Mn | -896,073.00 | 2.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 1.21 Bn |
| Sep 30, 2025 | 1.29 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.25 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 983.11 Mn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 981.23 Mn |
| Mar 31, 2023 | 963.66 Mn |
| Dec 31, 2022 | 964.60 Mn |
| Sep 30, 2022 | 1.03 Bn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 900.27 Mn |
| Dec 31, 2021 | 792.73 Mn |
| Sep 30, 2021 | 703.20 Mn |
API Access
Clean Harbors 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=CLH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "CLH", "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=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();