Clean Harbors (CLH) Inventory (2009 - 2026)
Clean Harbors (CLH) recorded Inventory of $382.94 million in Q2 2026, down 0.1% from $383.35 million a year earlier but up 5.2% from the prior quarter.
Clean Harbors (CLH) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Clean Harbors reported Inventory of $372.09 million, down 3.3% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $384.66 million in FY2024 (+17.4%), $327.51 million in FY2023 (+0.8%), $324.99 million in FY2022 (+29.6%) and $250.69 million in FY2021 (+13.7%).
- Quarterly Inventory has ranged from $228.68 million in Q3 2021 to $384.66 million in Q4 2024 over the past five years.
- On a year-over-year basis, Inventory has declined for three consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 29.6% in Q4 2022, against a decline of 3.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $363.94 million (Q1 2026), $372.09 million (Q4 2025) and $377.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 232.00 Mn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | - |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | - |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 382.94 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 | - |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 2.66 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 2.50 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | - |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 382.94 Mn |
| Mar 31, 2026 | 363.94 Mn |
| Dec 31, 2025 | 372.09 Mn |
| Sep 30, 2025 | 377.31 Mn |
| Jun 30, 2025 | 383.35 Mn |
| Mar 31, 2025 | 376.02 Mn |
| Dec 31, 2024 | 384.66 Mn |
| Sep 30, 2024 | 376.56 Mn |
| Jun 30, 2024 | 365.36 Mn |
| Mar 31, 2024 | 354.31 Mn |
| Dec 31, 2023 | 327.51 Mn |
| Sep 30, 2023 | 311.51 Mn |
| Jun 30, 2023 | 325.88 Mn |
| Mar 31, 2023 | 322.39 Mn |
| Dec 31, 2022 | 324.99 Mn |
| Sep 30, 2022 | 294.22 Mn |
| Jun 30, 2022 | 275.70 Mn |
| Mar 31, 2022 | 264.73 Mn |
| Dec 31, 2021 | 250.69 Mn |
| Sep 30, 2021 | 228.68 Mn |
Clean Harbors Inventory 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=inventory&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();