Clean Harbors (CLH) Cost of Revenue (2009 - 2026)
Clean Harbors (CLH) reported Cost of Revenue of $1.21 billion for Q3 2026, up 15.2% from $1.05 billion a year earlier and up 7.3% from the prior quarter.
Clean Harbors (CLH) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Clean Harbors' Cost of Revenue came in at $4.39 billion, up 6.9% year-over-year; for FY2025, it came in at $4.14 billion, up 1.9% from FY2024.
- Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $4.07 billion in FY2024 (+8.5%), $3.75 billion in FY2023 (+5.7%), $3.54 billion in FY2022 (+35.8%) and $2.61 billion in FY2021 (+22.1%).
- The Q3 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to Q2 2009.
- Year over year, Cost of Revenue gained in five of the last eight quarters, with growth averaging 5.0%.
- The high point for year-over-year Cost of Revenue in five years was Q1 2022 (growth of 50.5%); the low point was Q1 2026 (a decline of 0.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.13 billion (Q2 2026), $1.01 billion (Q1 2026) and $1.04 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.59 Bn | 93.42 Bn | 2.75 Bn | 4.09 Bn |
| 2 | Republic Services | 75.64 Bn | 75.25 Bn | 1.90 Bn | 2.66 Bn |
| 3 | Waste Connections | 47.71 Bn | 47.35 Bn | 1.14 Bn | 1.50 Bn |
| 4 | GFL Environmental | 17.09 Bn | 15.11 Bn | - | 1.73 Bn |
| 5 | Clean Harbors | 15.23 Bn | 12.57 Bn | 661.44 Mn | 1.21 Bn |
| 6 | Casella Waste Systems | 6.28 Bn | 5.41 Bn | 178.80 Mn | 364.95 Mn |
| 7 | Onterris | 831.93 Mn | 777.82 Mn | 88.27 Mn | 114.78 Mn |
| 8 | Perma Fix Environmental Services | 329.94 Mn | 222.68 Mn | 552,000.00 | 17.40 Mn |
| 9 | Comstock | 145.98 Mn | 5.20 Mn | -606,061.00 | 973,312.00 |
| 10 | Deep Isolation Nuclear | 103.79 Mn | 103.79 Mn | 707,000.00 | 612,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.21 Bn |
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.01 Bn |
| Dec 31, 2025 | 1.04 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 1.00 Bn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 971.07 Mn |
| Dec 31, 2023 | 923.15 Mn |
| Sep 30, 2023 | 943.95 Mn |
| Jun 30, 2023 | 947.51 Mn |
| Mar 31, 2023 | 931.51 Mn |
| Dec 31, 2022 | 891.42 Mn |
| Sep 30, 2022 | 910.65 Mn |
| Jun 30, 2022 | 898.47 Mn |
| Mar 31, 2022 | 843.39 Mn |
| Dec 31, 2021 | 792.18 Mn |
Clean Harbors Cost of Revenue 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=cost-of-revenue&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();