Onconetix (ONCO) Accumulated Expenses (2021 - 2026)
Onconetix (ONCO) reported Accumulated Expenses of $249,607 for Q2 2026, down 72.1% from $894,986 a year earlier and down 10.6% from the prior quarter.
Powered by 
Analysis
Onconetix (ONCO) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Onconetix posted Accumulated Expenses of $341,881, down 61.5% from FY2024.
- Accumulated Expenses has a four-year compound annual growth rate of -24.6% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $888,988 in FY2024, $50,000 in FY2023 (-97.9%), $2.41 million in FY2022 (+128.2%) and $1.06 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2023.
- Year over year, Accumulated Expenses has now declined in each of the last six quarters, with an average decline of 52.1% over the last seven quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2022 (growth of 128.2%); the low point was Q4 2023 (a decline of 97.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $279,121 (Q1 2026), $341,881 (Q4 2025) and $476,289 (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 | 249,607.00 |
| Mar 31, 2026 | 279,121.00 |
| Dec 31, 2025 | 341,881.00 |
| Sep 30, 2025 | 476,289.00 |
| Jun 30, 2025 | 894,986.00 |
| Mar 31, 2025 | 1.16 Mn |
| Dec 31, 2024 | 888,988.00 |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 1.44 Mn |
| Mar 31, 2024 | 1.94 Mn |
| Dec 31, 2023 | 50,000.00 |
| Sep 30, 2023 | 1.54 Mn |
| Jun 30, 2023 | 1.42 Mn |
| Mar 31, 2023 | 1.29 Mn |
| Dec 31, 2022 | 2.41 Mn |
| Sep 30, 2022 | 3.56 Mn |
| Jun 30, 2022 | 2.08 Mn |
| Mar 31, 2022 | 1.89 Mn |
| Dec 31, 2021 | 1.06 Mn |
API Access
Onconetix Accumulated 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=accumulated-expenses&ticker=ONCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();