Onconetix (ONCO) Finished Goods (2023 - 2026)
Onconetix's Finished Goods was $115,923 in Q2 2026, up 134.8% from $49,361 a year earlier and up 175.5% from the prior quarter.
Analysis
Onconetix (ONCO) Finished Goods (2023 - 2026) Analysis & Trends
At the end of FY2025, Finished Goods at Onconetix came in at $46,530, up 601.5% from FY2024.
- In earlier years, Finished Goods was $6,633 in FY2024 (-77.9%) and $30,039 in FY2023.
- The Q2 2026 figure marks the highest quarterly Finished Goods in data going back to Q4 2023.
- Compared with a year earlier, Finished Goods was higher in three of the last six quarters, with growth averaging 116.2%.
- Per Business Quant data, ONCO's Finished Goods in the three quarters before Q2 2026 was $42,072 (Q1 2026), $46,530 (Q4 2025) and $48,141 (Q3 2025).
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 | 115,923.00 |
| Mar 31, 2026 | 42,072.00 |
| Dec 31, 2025 | 46,530.00 |
| Sep 30, 2025 | 48,141.00 |
| Jun 30, 2025 | 49,361.00 |
| Mar 31, 2025 | 64,486.00 |
| Dec 31, 2024 | 6,633.00 |
| Sep 30, 2024 | 23,919.00 |
| Jun 30, 2024 | 68,301.00 |
| Mar 31, 2024 | 4,966.00 |
| Dec 31, 2023 | 30,039.00 |
API Access
Onconetix Finished Goods 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=finished-goods&ticker=ONCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();