Onconetix (ONCO) Return on Capital Employed [ROCE] (2022 - 2026)
Onconetix's Return on Capital Employed [ROCE] came in at -128.55% for Q2 2026, up 611.60 percentage points from -740.15% a year earlier but down 36.29 percentage points from the prior quarter.
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Analysis
Onconetix (ONCO) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Onconetix's Return on Capital Employed [ROCE] was -102.52%, up 40.28 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a three-year change of +22.60 percentage points (FY2022 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -142.79% in FY2024 (-52.08 pp), -90.71% in FY2023 (+34.40 pp) and -125.11% in FY2022.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -1476.82% (Q3 2025) to -47.03% (Q2 2022).
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of -175.78 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 611.60 percentage points), and the weakest in Q3 2025 (a drop of 1362.85 percentage points).
- Business Quant data shows ONCO's Return on Capital Employed [ROCE] at -92.26% (Q1 2026), -135.62% (Q4 2025) and -1476.82% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Onconetix | 1.64 Mn | -14.08 Mn | 4,303.00 | -128.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -128.55% |
| Mar 31, 2026 | -92.26% |
| Dec 31, 2025 | -135.62% |
| Sep 30, 2025 | -1,476.82% |
| Jun 30, 2025 | -740.15% |
| Mar 31, 2025 | -614.21% |
| Dec 31, 2024 | -211.09% |
| Sep 30, 2024 | -113.97% |
| Jun 30, 2024 | -109.84% |
| Mar 31, 2024 | -73.98% |
| Dec 31, 2023 | -88.95% |
| Sep 30, 2023 | -154.28% |
| Jun 30, 2023 | -118.75% |
| Mar 31, 2023 | -66.02% |
| Dec 31, 2022 | -55.45% |
| Sep 30, 2022 | -50.91% |
| Jun 30, 2022 | -47.03% |
| Mar 31, 2022 | -61.39% |
API Access
Onconetix Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=ONCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();