Onterris (ONT) Total Liabilities (2019 - 2026)
Onterris (ONT) recorded Total Liabilities of $536.9 million in Q2 2026, up 1.7% from $527.82 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Onterris (ONT) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Onterris reported Total Liabilities of $530.12 million, down 2.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $544.09 million in FY2024 (+9.8%), $495.53 million in FY2023 (+3.5%), $478.73 million in FY2022 (-7.3%) and $516.59 million in FY2021 (+11.0%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 0.3%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 25.5% in Q1 2024, against a decline of 12.8% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $507.93 million (Q1 2026), $530.12 million (Q4 2025) and $526.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | 36.52 Bn |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 23.13 Bn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 13.48 Bn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | 4.91 Bn |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 13.99 Bn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 1.98 Bn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | 536.90 Mn |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 43.51 Mn |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | 1.98 Mn |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 52.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 536.90 Mn |
| Mar 31, 2026 | 507.93 Mn |
| Dec 31, 2025 | 530.12 Mn |
| Sep 30, 2025 | 526.96 Mn |
| Jun 30, 2025 | 527.82 Mn |
| Mar 31, 2025 | 548.02 Mn |
| Dec 31, 2024 | 544.09 Mn |
| Sep 30, 2024 | 557.70 Mn |
| Jun 30, 2024 | 495.14 Mn |
| Mar 31, 2024 | 593.63 Mn |
| Dec 31, 2023 | 495.53 Mn |
| Sep 30, 2023 | 521.21 Mn |
| Jun 30, 2023 | 512.66 Mn |
| Mar 31, 2023 | 473.07 Mn |
| Dec 31, 2022 | 478.73 Mn |
| Sep 30, 2022 | 472.71 Mn |
| Jun 30, 2022 | 472.89 Mn |
| Mar 31, 2022 | 474.48 Mn |
| Dec 31, 2021 | 516.59 Mn |
| Sep 30, 2021 | 521.92 Mn |
API Access
Onterris Total Liabilities 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=total-liabilities&ticker=ONT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ONT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();