Clean Harbors (CLH) Shares Outstanding (Diluted) (2009 - 2026)
Clean Harbors (CLH) reported Shares Outstanding (Diluted) of 52.96 million for Q2 2026, down 1.6% from 53.8 million a year earlier and down 0.1% from the prior quarter.
Clean Harbors (CLH) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Clean Harbors posted Shares Outstanding (Diluted) of 53.72 million, down 0.9% from FY2024.
- Shares Outstanding (Diluted) has declined for 12 consecutive years, with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 54.2 million in FY2024 (-0.3%), 54.38 million in FY2023 (-0.2%), 54.49 million in FY2022 (-0.5%) and 54.76 million in FY2021 (-1.7%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q4 2010.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 11 quarters, with an average decline of 0.9% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2023 (growth of 0.1%); the low point was Q1 2026 (a decline of 1.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 52.99 million (Q1 2026), 53.72 million (Q4 2025) and 53.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 402.40 Mn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 307.63 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 253.86 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 52.96 Mn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 378.69 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 63.69 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 38.71 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 19.84 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 57.66 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 36.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.96 Mn |
| Mar 31, 2026 | 52.99 Mn |
| Dec 31, 2025 | 53.72 Mn |
| Sep 30, 2025 | 53.71 Mn |
| Jun 30, 2025 | 53.80 Mn |
| Mar 31, 2025 | 53.99 Mn |
| Dec 31, 2024 | 54.20 Mn |
| Sep 30, 2024 | 54.23 Mn |
| Jun 30, 2024 | 54.25 Mn |
| Mar 31, 2024 | 54.21 Mn |
| Dec 31, 2023 | 54.38 Mn |
| Sep 30, 2023 | 54.42 Mn |
| Jun 30, 2023 | 54.45 Mn |
| Mar 31, 2023 | 54.40 Mn |
| Dec 31, 2022 | 54.49 Mn |
| Sep 30, 2022 | 54.38 Mn |
| Jun 30, 2022 | 54.60 Mn |
| Mar 31, 2022 | 54.67 Mn |
| Dec 31, 2021 | 54.76 Mn |
| Sep 30, 2021 | 54.71 Mn |
Clean Harbors Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();