Onterris (ONT) Operating Expenses (2019 - 2026)
Onterris (ONT) posted Operating Expenses of $66.5 million for Q2 2026, down 13.9% from $77.21 million a year earlier but up 2.6% from the prior quarter.
Onterris (ONT) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Onterris was $268.94 million, down 11.2% year-over-year; for FY2025, it was $284.93 million, up 1.2% from FY2024.
- Annual Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 24.8% (FY2020 to FY2025).
- In prior years, Onterris' Operating Expenses was $281.45 million in FY2024 (+17.2%), $240.09 million in FY2023 (+29.5%), $185.4 million in FY2022 (+49.4%) and $124.06 million in FY2021 (+32.1%).
- Quarterly Operating Expenses has run from a low of $32.3 million in Q3 2021 to a high of $89.17 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with growth averaging 5.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 71.9%; the weakest was Q4 2025, with a decline of 23.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $64.82 million (Q1 2026), $67.82 million (Q4 2025) and $69.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 94.39 Bn | 93.32 Bn | 2.75 Bn | 5.57 Bn |
| 2 | Republic Services | 75.41 Bn | 75.02 Bn | 1.90 Bn | 451.00 Mn |
| 3 | Waste Connections | 47.83 Bn | 47.48 Bn | 1.14 Bn | 593.34 Mn |
| 4 | GFL Environmental | 15.73 Bn | 15.73 Bn | 304.74 Mn | 464.61 Mn |
| 5 | Clean Harbors | 15.30 Bn | 12.64 Bn | 661.44 Mn | 217.09 Mn |
| 6 | Casella Waste Systems | 5.92 Bn | 5.24 Bn | 184.65 Mn | 543.58 Mn |
| 7 | Onterris | 832.01 Mn | 777.91 Mn | 88.27 Mn | 67.19 Mn |
| 8 | Enviri | 710.17 Mn | 67.28 Mn | -162.22 Mn | 301.48 Mn |
| 9 | Oio | 619.48 Mn | 617.91 Mn | - | - |
| 10 | Perma Fix Environmental Services | 328.26 Mn | 221.00 Mn | 552,000.00 | 4.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 67.19 Mn |
| Jun 30, 2026 | 66.50 Mn |
| Mar 31, 2026 | 64.82 Mn |
| Dec 31, 2025 | 67.82 Mn |
| Sep 30, 2025 | 69.80 Mn |
| Jun 30, 2025 | 77.21 Mn |
| Mar 31, 2025 | 70.14 Mn |
| Dec 31, 2024 | 89.17 Mn |
| Sep 30, 2024 | 66.47 Mn |
| Jun 30, 2024 | 64.44 Mn |
| Mar 31, 2024 | 62.50 Mn |
| Dec 31, 2023 | 64.00 Mn |
| Sep 30, 2023 | 59.50 Mn |
| Jun 30, 2023 | 57.85 Mn |
| Mar 31, 2023 | 51.81 Mn |
| Dec 31, 2022 | 47.08 Mn |
| Sep 30, 2022 | 44.56 Mn |
| Jun 30, 2022 | 48.26 Mn |
| Mar 31, 2022 | 44.07 Mn |
| Dec 31, 2021 | 36.39 Mn |
Onterris Operating 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=operating-expenses&ticker=ONT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ONT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ONT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();