Onconetix (ONCO) Depreciation & Amortization (CF) (2021 - 2026)
Onconetix (ONCO) recorded Depreciation & Amortization (CF) of $2,632 in Q2 2026, down 28.8% from $3,699 a year earlier and down 51.2% from the prior quarter.
Onconetix (ONCO) Depreciation & Amortization (CF) (2021 - 2026) Analysis & Trends
On a TTM basis, Onconetix's Depreciation & Amortization (CF) came in at $14,753 as of Jun 30, 2026, down 95.6% year-over-year; for FY2025, it was $15,170, down 97.9% from FY2024.
- Annual Depreciation & Amortization (CF) has a four-year compound annual growth rate of 32.7% (FY2021 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $731,345 in FY2024, $43,937 in FY2023 (+550.7%), $6,752 in FY2022 (+38.1%) and $4,890 in FY2021.
- The Q2 2026 figure is the lowest quarterly Depreciation & Amortization (CF) since Q3 2023.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in two of the last seven quarters, with an average decline of 28.7%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 205.5% in Q4 2024, against a decline of 98.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $5,398 (Q1 2026), $3,336 (Q4 2025) and $3,387 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Onconetix | 1.66 Mn | -14.06 Mn | 4,303.00 | 2,632.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,632.00 |
| Mar 31, 2026 | 5,398.00 |
| Dec 31, 2025 | 3,336.00 |
| Sep 30, 2025 | 3,387.00 |
| Jun 30, 2025 | 3,699.00 |
| Mar 31, 2025 | 4,748.00 |
| Dec 31, 2024 | 119,299.00 |
| Sep 30, 2024 | 204,045.00 |
| Jun 30, 2024 | 201,301.00 |
| Mar 31, 2024 | 206,700.00 |
| Dec 31, 2023 | 39,051.00 |
| Sep 30, 2023 | 1,617.00 |
| Jun 30, 2023 | 1,571.00 |
| Mar 31, 2023 | 1,698.00 |
| Dec 31, 2022 | 1,846.00 |
| Sep 30, 2022 | 1,845.00 |
| Jun 30, 2022 | 1,761.00 |
| Mar 31, 2022 | 1,300.00 |
| Dec 31, 2021 | 1,153.00 |
| Sep 30, 2021 | 1,259.00 |
Onconetix Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=ONCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=ONCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();