Contineum Therapeutics (CTNM) EBITDA (2023 - 2026)
Contineum Therapeutics' EBITDA was -$17.29 million in Q2 2026, compared with -$17.82 million a year earlier.
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Analysis
Contineum Therapeutics (CTNM) EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Contineum Therapeutics' EBITDA was -$66 million through Jun 30, 2026; for FY2025, it was -$67.74 million.
- In earlier years, EBITDA was -$50.59 million in FY2024 and $16.28 million in FY2023.
- Quarterly EBITDA has moved between -$18.03 million (Q1 2025) and $38.98 million (Q2 2023) over five years.
- Per Business Quant data, CTNM's EBITDA in the three quarters before Q2 2026 was -$16.82 million (Q1 2026), -$17.03 million (Q4 2025) and -$14.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Contineum Therapeutics | 476.97 Mn | 476.97 Mn | - | -17.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.29 Mn |
| Mar 31, 2026 | -16.82 Mn |
| Dec 31, 2025 | -17.03 Mn |
| Sep 30, 2025 | -14.85 Mn |
| Jun 30, 2025 | -17.82 Mn |
| Mar 31, 2025 | -18.03 Mn |
| Dec 31, 2024 | -16.93 Mn |
| Sep 30, 2024 | -12.91 Mn |
| Jun 30, 2024 | -10.88 Mn |
| Mar 31, 2024 | -9.87 Mn |
| Dec 31, 2023 | -9.63 Mn |
| Sep 30, 2023 | -8.03 Mn |
| Jun 30, 2023 | 38.98 Mn |
| Mar 31, 2023 | -5.04 Mn |
API Access
Contineum Therapeutics EBITDA 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=ebitda&ticker=CTNM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "CTNM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=CTNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();