Clean Harbors (CLH) Retained Earnings (2009 - 2026)
Clean Harbors (CLH) recorded Retained Earnings of $2.99 billion in Q2 2026, up 17.2% from $2.55 billion a year earlier and up 6.0% from the prior quarter.
Clean Harbors (CLH) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Clean Harbors reported Retained Earnings of $2.76 billion, up 16.5% from FY2024.
- Annual Retained Earnings has increased for nine straight years, with a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $2.36 billion in FY2024 (+20.5%), $1.96 billion in FY2023 (+23.8%), $1.58 billion in FY2022 (+35.1%) and $1.17 billion in FY2021 (+21.0%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2009.
- On a year-over-year basis, Retained Earnings has increased for 36 consecutive quarters, with growth averaging 18.4% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 16.3% (Q1 2026) and 36.0% (Q1 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $2.82 billion (Q1 2026), $2.76 billion (Q4 2025) and $2.67 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 17.98 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 11.87 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 5.54 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 2.99 Bn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | -218.50 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | -126.88 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | -284.84 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | -124.40 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | -40.96 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | -413.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.99 Bn |
| Mar 31, 2026 | 2.82 Bn |
| Dec 31, 2025 | 2.76 Bn |
| Sep 30, 2025 | 2.67 Bn |
| Jun 30, 2025 | 2.55 Bn |
| Mar 31, 2025 | 2.42 Bn |
| Dec 31, 2024 | 2.36 Bn |
| Sep 30, 2024 | 2.28 Bn |
| Jun 30, 2024 | 2.17 Bn |
| Mar 31, 2024 | 2.03 Bn |
| Dec 31, 2023 | 1.96 Bn |
| Sep 30, 2023 | 1.86 Bn |
| Jun 30, 2023 | 1.77 Bn |
| Mar 31, 2023 | 1.66 Bn |
| Dec 31, 2022 | 1.58 Bn |
| Sep 30, 2022 | 1.50 Bn |
| Jun 30, 2022 | 1.37 Bn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | 1.12 Bn |
Clean Harbors Retained Earnings 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=retained-earnings&ticker=CLH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();