Onterris (ONT) Cost of Revenue (2019 - 2026)
Onterris' Cost of Revenue came in at $104.4 million for Q2 2026, down 21.4% from $132.8 million a year earlier but up 2.9% from the prior quarter.
Onterris (ONT) Cost of Revenue (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Onterris reported Cost of Revenue of $460.85 million, up 0.5% year-over-year; for FY2025, it came in at $496.19 million, up 18.7% from FY2024.
- Cost of Revenue has increased in each of the last three years, with a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $418.19 million in FY2024 (+8.9%), $383.9 million in FY2023 (+9.1%), $351.88 million in FY2022 (-4.6%) and $369.03 million in FY2021 (+71.2%).
- The five-year range for quarterly Cost of Revenue is $81.63 million (Q1 2023) to $136.28 million (Q3 2025).
- Year-over-year, Cost of Revenue increased in six of the last eight quarters, with growth averaging 7.5%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2021 (growth of 64.5%), and the weakest in Q2 2026 (a decline of 21.4%).
- Business Quant data shows ONT's Cost of Revenue at $101.47 million (Q1 2026), $118.7 million (Q4 2025) and $136.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 3.96 Bn |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | 2.56 Bn |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | 1.48 Bn |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | 1.13 Bn |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | 1.56 Bn |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 364.95 Mn |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 104.40 Mn |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | 15.39 Mn |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | 612,000.00 |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.40 Mn |
| Mar 31, 2026 | 101.47 Mn |
| Dec 31, 2025 | 118.70 Mn |
| Sep 30, 2025 | 136.28 Mn |
| Jun 30, 2025 | 132.80 Mn |
| Mar 31, 2025 | 108.41 Mn |
| Dec 31, 2024 | 111.95 Mn |
| Sep 30, 2024 | 105.60 Mn |
| Jun 30, 2024 | 104.09 Mn |
| Mar 31, 2024 | 96.56 Mn |
| Dec 31, 2023 | 101.92 Mn |
| Sep 30, 2023 | 102.16 Mn |
| Jun 30, 2023 | 98.20 Mn |
| Mar 31, 2023 | 81.63 Mn |
| Dec 31, 2022 | 90.83 Mn |
| Sep 30, 2022 | 82.23 Mn |
| Jun 30, 2022 | 90.43 Mn |
| Mar 31, 2022 | 88.39 Mn |
| Dec 31, 2021 | 96.37 Mn |
| Sep 30, 2021 | 85.24 Mn |
Onterris Cost of Revenue 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=cost-of-revenue&ticker=ONT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ONT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();