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 | 93.34 Bn | 92.18 Bn | 2.75 Bn | 36.65 Bn |
| 2 | Republic Services | 75.09 Bn | 74.70 Bn | 1.90 Bn | 23.27 Bn |
| 3 | Waste Connections | 47.35 Bn | 46.99 Bn | 1.14 Bn | 13.63 Bn |
| 4 | GFL Environmental | 15.32 Bn | 15.00 Bn | - | 8.62 Bn |
| 5 | Clean Harbors | 15.15 Bn | 12.49 Bn | 661.44 Mn | 5.17 Bn |
| 6 | Casella Waste Systems | 5.92 Bn | 5.04 Bn | 178.80 Mn | 1.98 Bn |
| 7 | Onterris | 802.59 Mn | 748.49 Mn | 88.27 Mn | 516.22 Mn |
| 8 | Enviri | 690.70 Mn | 1.79 Mn | -162.22 Mn | 1.04 Bn |
| 9 | Perma Fix Environmental Services | 316.78 Mn | 209.52 Mn | 552,000.00 | 47.22 Mn |
| 10 | Comstock | 137.16 Mn | -3.62 Mn | -606,061.00 | 41.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 516.22 Mn |
| 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 |
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();