Onconetix (ONCO) Total Debt (2022 - 2026)
Onconetix's Total Debt was $150,394 in Q2 2026, down 98.3% from $8.73 million a year earlier and down 39.2% from the prior quarter.
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Analysis
Onconetix (ONCO) Total Debt (2022 - 2026) Analysis & Trends
At the end of FY2024, Total Debt at Onconetix came in at $9.33 million, down 4.2% from FY2023.
- In earlier years, Total Debt was $9.74 million in FY2023 and $462,518 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Total Debt in data going back to Q4 2022.
- The best year-over-year quarter for Total Debt over five years was Q2 2024 (growth of 12.3%); the worst was Q3 2025 (a decline of 98.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 16.81 Bn |
| 10 | Onconetix | 1.66 Mn | -14.06 Mn | 4,303.00 | 150,394.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150,394.00 |
| Mar 31, 2026 | 247,196.00 |
| Sep 30, 2025 | 160,267.00 |
| Jun 30, 2025 | 8.73 Mn |
| Mar 31, 2025 | 8.96 Mn |
| Dec 31, 2024 | 9.33 Mn |
| Sep 30, 2024 | 9.96 Mn |
| Jun 30, 2024 | 10.20 Mn |
| Mar 31, 2024 | 10.52 Mn |
| Dec 31, 2023 | 9.74 Mn |
| Sep 30, 2023 | 12.92 Mn |
| Jun 30, 2023 | 9.09 Mn |
| Dec 31, 2022 | 462,518.00 |
API Access
Onconetix Total Debt 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-debt&ticker=ONCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();