Clean Harbors (CLH) Intangibles (2009 - 2026)
Clean Harbors (CLH) recorded Intangibles of $749.11 million in Q2 2026, up 10.6% from $677.18 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Clean Harbors (CLH) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Clean Harbors reported Intangibles of $653.03 million, down 7.0% from FY2024.
- Annual Intangibles has a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $701.99 million in FY2024 (+16.5%), $602.8 million in FY2023 (-2.9%), $620.78 million in FY2022 (-3.7%) and $644.91 million in FY2021 (+66.8%).
- The Q2 2026 figure is the highest quarterly Intangibles in data going back to Q4 2009.
- On a year-over-year basis, Intangibles rose in three of the last eight quarters, with growth averaging 1.8%.
- Peak year-over-year performance for Intangibles in the last five years was growth of 70.3% in Q2 2022, against a decline of 7.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $679.08 million (Q1 2026), $653.03 million (Q4 2025) and $663.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 3.64 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 707.00 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 1.97 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 749.11 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 2.18 Bn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 341.59 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 113.61 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 10.86 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 33,000.00 |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 9.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 749.11 Mn |
| Mar 31, 2026 | 679.08 Mn |
| Dec 31, 2025 | 653.03 Mn |
| Sep 30, 2025 | 663.97 Mn |
| Jun 30, 2025 | 677.18 Mn |
| Mar 31, 2025 | 688.96 Mn |
| Dec 31, 2024 | 701.99 Mn |
| Sep 30, 2024 | 708.94 Mn |
| Jun 30, 2024 | 727.46 Mn |
| Mar 31, 2024 | 739.98 Mn |
| Dec 31, 2023 | 602.80 Mn |
| Sep 30, 2023 | 613.54 Mn |
| Jun 30, 2023 | 626.32 Mn |
| Mar 31, 2023 | 636.52 Mn |
| Dec 31, 2022 | 620.78 Mn |
| Sep 30, 2022 | 621.83 Mn |
| Jun 30, 2022 | 637.25 Mn |
| Mar 31, 2022 | 633.45 Mn |
| Dec 31, 2021 | 644.91 Mn |
| Sep 30, 2021 | 366.50 Mn |
API Access
Clean Harbors Intangibles 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=intangibles&ticker=CLH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();