Onconetix (ONCO) Total Liabilities (2021 - 2026)
Onconetix (ONCO) recorded Total Liabilities of $2.96 million in Q2 2026, down 77.6% from $13.21 million a year earlier and down 4.1% from the prior quarter.
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Analysis
Onconetix (ONCO) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Onconetix reported Total Liabilities of $9.16 million, down 53.3% from FY2024.
- Annual Total Liabilities has a four-year compound annual growth rate of 53.8% (FY2021 to FY2025).
- Across earlier years, Total Liabilities came in at $19.64 million in FY2024 (-77.2%), $86.11 million in FY2023, $3.92 million in FY2022 (+139.4%) and $1.64 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q1 2023.
- On a year-over-year basis, Total Liabilities has declined for seven consecutive quarters, with an average decline of 57.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 445.0% in Q2 2023, against a decline of 85.0% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.09 million (Q1 2026), $9.16 million (Q4 2025) and $16.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Onconetix | 1.75 Mn | -13.97 Mn | 4,303.00 | 2.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.96 Mn |
| Mar 31, 2026 | 3.09 Mn |
| Dec 31, 2025 | 9.16 Mn |
| Sep 30, 2025 | 16.30 Mn |
| Jun 30, 2025 | 13.21 Mn |
| Mar 31, 2025 | 14.78 Mn |
| Dec 31, 2024 | 19.64 Mn |
| Sep 30, 2024 | 20.90 Mn |
| Jun 30, 2024 | 88.19 Mn |
| Mar 31, 2024 | 89.53 Mn |
| Dec 31, 2023 | 86.11 Mn |
| Sep 30, 2023 | 17.65 Mn |
| Jun 30, 2023 | 16.67 Mn |
| Mar 31, 2023 | 2.81 Mn |
| Dec 31, 2022 | 3.92 Mn |
| Sep 30, 2022 | 4.43 Mn |
| Jun 30, 2022 | 3.06 Mn |
| Mar 31, 2022 | 2.80 Mn |
| Dec 31, 2021 | 1.64 Mn |
API Access
Onconetix 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=ONCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ONCO", "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=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();