Clean Harbors (CLH) Accumulated Expenses (2009 - 2026)
Clean Harbors (CLH) recorded Accumulated Expenses of $525.73 million in Q3 2026, up 26.6% from $415.17 million a year earlier and up 18.8% from the prior quarter.
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Analysis
Clean Harbors (CLH) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Clean Harbors reported Accumulated Expenses of $441.79 million, up 5.3% from FY2024.
- Annual Accumulated Expenses has increased for eight straight years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $419.45 million in FY2024 (+5.6%), $397.16 million in FY2023 (+0.1%), $396.72 million in FY2022 (+1.4%) and $391.41 million in FY2021 (+32.3%).
- The Q3 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- On a year-over-year basis, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 35.3% in Q3 2022, against a decline of 9.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $442.44 million (Q2 2026), $384.13 million (Q1 2026) and $441.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Waste Management | 96.96 Bn | 95.89 Bn | 2.75 Bn |
| 2 | Republic Services | 77.08 Bn | 76.69 Bn | 1.90 Bn |
| 3 | Waste Connections | 48.53 Bn | 48.18 Bn | 1.14 Bn |
| 4 | GFL Environmental | 15.55 Bn | 15.55 Bn | 304.74 Mn |
| 5 | Clean Harbors | 15.50 Bn | 12.85 Bn | 661.44 Mn |
| 6 | Casella Waste Systems | 6.38 Bn | 5.69 Bn | 184.65 Mn |
| 7 | Onterris | 817.60 Mn | 763.50 Mn | 88.27 Mn |
| 8 | Enviri | 710.45 Mn | 67.56 Mn | -162.22 Mn |
| 9 | Oio | 584.68 Mn | 583.11 Mn | - |
| 10 | Perma Fix Environmental Services | 315.74 Mn | 208.48 Mn | 552,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 525.73 Mn |
| Jun 30, 2026 | 442.44 Mn |
| Mar 31, 2026 | 384.13 Mn |
| Dec 31, 2025 | 441.79 Mn |
| Sep 30, 2025 | 415.17 Mn |
| Jun 30, 2025 | 376.59 Mn |
| Mar 31, 2025 | 325.76 Mn |
| Dec 31, 2024 | 419.45 Mn |
| Sep 30, 2024 | 398.24 Mn |
| Jun 30, 2024 | 392.71 Mn |
| Mar 31, 2024 | 349.44 Mn |
| Dec 31, 2023 | 397.16 Mn |
| Sep 30, 2023 | 369.10 Mn |
| Jun 30, 2023 | 348.86 Mn |
| Mar 31, 2023 | 313.92 Mn |
| Dec 31, 2022 | 396.72 Mn |
| Sep 30, 2022 | 405.26 Mn |
| Jun 30, 2022 | 387.05 Mn |
| Mar 31, 2022 | 338.84 Mn |
| Dec 31, 2021 | 391.41 Mn |
API Access
Clean Harbors Accumulated Expenses 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=accumulated-expenses&ticker=CLH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();