Onconetix (ONCO) Other Operating Expenses (2022 - 2026)
Onconetix (ONCO) posted Other Operating Expenses of $486,000 for Q2 2026, down 18.2% from $594,000 a year earlier and down 94.0% from the prior quarter.
Onconetix (ONCO) Other Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Onconetix was $8.62 million, down 28.2% year-over-year; for FY2025, it was $11.51 million.
- Annual Other Operating Expenses shows a three-year compound annual growth rate of 106.9% (FY2022 to FY2025).
- In prior years, Onconetix's Other Operating Expenses was $900,000 in FY2024 (-35.7%), $1.4 million in FY2023 (+7.7%) and $1.3 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Other Operating Expenses since Q1 2024.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 486,000.00 |
| Mar 31, 2026 | 8.13 Mn |
| Jun 30, 2025 | 594,000.00 |
| Mar 31, 2025 | 10.92 Mn |
| Dec 31, 2024 | 500,000.00 |
| Jun 30, 2024 | 11.49 Mn |
| Mar 31, 2024 | 31,000.00 |
| Dec 31, 2023 | 14.69 Mn |
| Jun 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | 1,615.00 |
| Sep 30, 2022 | 800,000.00 |
| Jun 30, 2022 | 30,303.00 |
Onconetix Other Operating Expenses 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=other-operating-expenses&ticker=ONCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();