Onconetix (ONCO) Change in Inventory (2023 - 2026)
Onconetix (ONCO) reported Change in Inventory of $76,247 for Q2 2026, compared with -$18,254 a year earlier.
Onconetix (ONCO) Change in Inventory (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Onconetix's Change in Inventory came in at $65,548; for FY2025, it was $73,720, up 18.4% from FY2024.
- By year, Change in Inventory came in at $62,273 in FY2024 (-80.3%) and $315,828 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Change in Inventory since Q1 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$11,654 (Q1 2026), -$462.00 (Q4 2025) and $1,417 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 301.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Onconetix | 1.75 Mn | -13.97 Mn | 4,303.00 | 76,247.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76,247.00 |
| Mar 31, 2026 | -11,654.00 |
| Dec 31, 2025 | -462.00 |
| Sep 30, 2025 | 1,417.00 |
| Jun 30, 2025 | -18,254.00 |
| Mar 31, 2025 | 91,019.00 |
| Dec 31, 2024 | -50,829.00 |
| Sep 30, 2024 | -45,993.00 |
| Jun 30, 2024 | 122,121.00 |
| Mar 31, 2024 | 36,974.00 |
| Dec 31, 2023 | 16,556.00 |
| Sep 30, 2023 | 247,372.00 |
Onconetix Change in Inventory 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=change-in-inventory&ticker=ONCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();