Onconetix (ONCO) Total Non-Current Liabilities (2022 - 2025)
Onconetix (ONCO) reported Total Non-Current Liabilities of $3.49 million for Q3 2025, down 83.3% from $20.87 million a year earlier and down 73.5% from the prior quarter.
Onconetix (ONCO) Total Non-Current Liabilities (2022 - 2025) Analysis & Trends
At the end of FY2024, Onconetix posted Total Non-Current Liabilities of $19.6 million, down 77.2% from FY2023.
- By year, Total Non-Current Liabilities came in at $86.11 million in FY2023 and $3.88 million in FY2022.
- The Q3 2025 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q2 2022.
- Per Business Quant data, the three quarters before Q3 2025 came in at $13.16 million (Q2 2025), $14.73 million (Q1 2025) and $19.6 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Onconetix | 1.75 Mn | -13.97 Mn | 4,303.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3.49 Mn |
| Jun 30, 2025 | 13.16 Mn |
| Mar 31, 2025 | 14.73 Mn |
| Dec 31, 2024 | 19.60 Mn |
| Sep 30, 2024 | 20.87 Mn |
| Dec 31, 2023 | 86.11 Mn |
| Dec 31, 2022 | 3.88 Mn |
| Sep 30, 2022 | 4.39 Mn |
| Jun 30, 2022 | 3.05 Mn |
Onconetix Total Non-Current 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-non-current-liabilities&ticker=ONCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();