Onconetix (ONCO) Receivables - Net (2023 - 2026)
Onconetix's Receivables - Net came in at $2,351 for Q2 2026, down 80.7% from $12,156 a year earlier and down 94.6% from the prior quarter.
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Analysis
Onconetix (ONCO) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Onconetix's Receivables - Net was $300,000, up 900.0% from FY2024.
- Going back by year, Receivables - Net was $30,000 in FY2024 (-80.0%) and $150,000 in FY2023.
- The Q2 2026 figure represents the lowest quarterly Receivables - Net in data going back to Q4 2023.
- Year-over-year, Receivables - Net increased in two of the last seven quarters, with growth averaging 95.7%.
- Business Quant data shows ONCO's Receivables - Net at $43,725 (Q1 2026), $296,866 (Q4 2025) and $3,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Onconetix | 1.75 Mn | -13.97 Mn | 4,303.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,351.00 |
| Mar 31, 2026 | 43,725.00 |
| Dec 31, 2025 | 296,866.00 |
| Sep 30, 2025 | 3,000.00 |
| Jun 30, 2025 | 12,156.00 |
| Mar 31, 2025 | 16,293.00 |
| Dec 31, 2024 | 30,000.00 |
| Sep 30, 2024 | 98,030.00 |
| Jun 30, 2024 | 171,313.00 |
| Mar 31, 2024 | 26,000.00 |
| Dec 31, 2023 | 150,000.00 |
API Access
Onconetix Receivables - Net 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=receivables-net&ticker=ONCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();