Clean Harbors (CLH) Net Income (2009 - 2026)
Clean Harbors (CLH) recorded Net Income of $170.46 million in Q2 2026, up 34.3% from $126.91 million a year earlier and up 169.7% from the prior quarter.
Clean Harbors (CLH) Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Clean Harbors' Net Income came in at $439.05 million as of Jun 30, 2026, up 14.1% year-over-year; for FY2025, it was $390.97 million, down 2.8% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 23.7% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $402.3 million in FY2024 (+6.5%), $377.86 million in FY2023 (-8.2%), $411.74 million in FY2022 (+102.6%) and $203.25 million in FY2021 (+50.7%).
- The Q2 2026 figure is the highest quarterly Net Income in data going back to Q2 2009.
- On a year-over-year basis, Net Income has increased for four consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 120.9% in Q2 2022, against a decline of 32.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $63.2 million (Q1 2026), $86.59 million (Q4 2025) and $118.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 786.00 Mn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 566.00 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 296.40 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 170.46 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | -162.60 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 3.77 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 1.37 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | -6.20 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | -3.04 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | -25.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.46 Mn |
| Mar 31, 2026 | 63.20 Mn |
| Dec 31, 2025 | 86.59 Mn |
| Sep 30, 2025 | 118.80 Mn |
| Jun 30, 2025 | 126.91 Mn |
| Mar 31, 2025 | 58.68 Mn |
| Dec 31, 2024 | 83.97 Mn |
| Sep 30, 2024 | 115.21 Mn |
| Jun 30, 2024 | 133.28 Mn |
| Mar 31, 2024 | 69.83 Mn |
| Dec 31, 2023 | 98.35 Mn |
| Sep 30, 2023 | 91.34 Mn |
| Jun 30, 2023 | 115.77 Mn |
| Mar 31, 2023 | 72.40 Mn |
| Dec 31, 2022 | 82.47 Mn |
| Sep 30, 2022 | 135.80 Mn |
| Jun 30, 2022 | 148.16 Mn |
| Mar 31, 2022 | 45.31 Mn |
| Dec 31, 2021 | 48.99 Mn |
| Sep 30, 2021 | 65.44 Mn |
Clean Harbors Net Income 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=net-income&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();