Clean Harbors (CLH) Change in Receivables (2009 - 2026)
Clean Harbors (CLH) posted Change in Receivables of $157.47 million for Q2 2026, up 276.5% from $41.82 million a year earlier and up 50.3% from the prior quarter.
Clean Harbors (CLH) Change in Receivables (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at Clean Harbors was $177.71 million, up 514.6% year-over-year; for FY2025, it came in at $31.85 million, up 10.5% from FY2024.
- In prior years, Clean Harbors' Change in Receivables was $28.82 million in FY2024, -$2.45 million in FY2023, $201.09 million in FY2022 (+108.3%) and $96.55 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Change in Receivables since Q2 2015.
- On a year-over-year basis, Change in Receivables increased in three of the last five quarters, with growth averaging 63.0%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q1 2024, with growth of 782.4%; the weakest was Q2 2023, with a decline of 99.5%.
- According to Business Quant data, Change in Receivables for the three prior quarters was $104.78 million (Q1 2026), -$81.28 million (Q4 2025) and -$3.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 254.00 Mn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 122.00 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | - |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 157.47 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | - |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 37.25 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 17.50 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 511,000.00 |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | -124,000.00 |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 1.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.47 Mn |
| Mar 31, 2026 | 104.78 Mn |
| Dec 31, 2025 | -81.28 Mn |
| Sep 30, 2025 | -3.27 Mn |
| Jun 30, 2025 | 41.82 Mn |
| Mar 31, 2025 | 74.58 Mn |
| Dec 31, 2024 | -116.83 Mn |
| Sep 30, 2024 | 29.34 Mn |
| Jun 30, 2024 | 71.92 Mn |
| Mar 31, 2024 | 44.38 Mn |
| Dec 31, 2023 | -48.90 Mn |
| Sep 30, 2023 | 40.79 Mn |
| Jun 30, 2023 | 629,000.00 |
| Mar 31, 2023 | 5.03 Mn |
| Dec 31, 2022 | -92.48 Mn |
| Sep 30, 2022 | 29.98 Mn |
| Jun 30, 2022 | 124.89 Mn |
| Mar 31, 2022 | 138.69 Mn |
| Dec 31, 2021 | -17.05 Mn |
| Sep 30, 2021 | 62.32 Mn |
Clean Harbors 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=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();