Onconetix (ONCO) Shares Outstanding (Diluted) (2021 - 2026)
Onconetix (ONCO) posted Shares Outstanding (Diluted) of 2.24 million for Q2 2026, compared with 11,353 a year earlier.
Analysis
Onconetix (ONCO) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Onconetix's Shares Outstanding (Diluted) came in at 18,754, down 65.8% from FY2024.
- Annual Shares Outstanding (Diluted) shows a four-year compound annual growth rate of -26.4% (FY2021 to FY2025).
- In prior years, Onconetix's Shares Outstanding (Diluted) was 54,911 in FY2024 (-84.0%), 342,227 in FY2023 (+39.4%), 245,429 in FY2022 (+283.5%) and 64,000 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in 1 of the last seven quarters, with an average decline of 61.8%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2022, with growth of 348.1%; the weakest was Q2 2025, with a decline of 97.4%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 62,853 (Q1 2026), 18,754 (Q4 2025) and 28,109 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Onconetix | 1.75 Mn | -13.97 Mn | 4,303.00 | 2.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Mn |
| Mar 31, 2026 | 62,853.00 |
| Dec 31, 2025 | 18,754.00 |
| Sep 30, 2025 | 28,109.00 |
| Jun 30, 2025 | 11,353.00 |
| Mar 31, 2025 | 363,525.00 |
| Dec 31, 2024 | 54,911.00 |
| Sep 30, 2024 | 26,123.00 |
| Jun 30, 2024 | 443,925.00 |
| Mar 31, 2024 | 442,952.00 |
| Dec 31, 2023 | 342,227.00 |
| Sep 30, 2023 | 350,431.00 |
| Jun 30, 2023 | 318,135.00 |
| Mar 31, 2023 | 318,208.00 |
| Dec 31, 2022 | 245,429.00 |
| Sep 30, 2022 | 286,768.00 |
| Jun 30, 2022 | 239,917.00 |
| Mar 31, 2022 | 126,789.00 |
| Dec 31, 2021 | 64,000.00 |
| Sep 30, 2021 | 64,000.00 |
API Access
Onconetix Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ONCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();