Contineum Therapeutics (CTNM) Total Non-Current Liabilities (2023 - 2024)
Contineum Therapeutics' Total Non-Current Liabilities was $14.78 million in Q4 2024, down 92.5% from $198.21 million a year earlier but up 154.6% from the prior quarter.
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Analysis
Contineum Therapeutics (CTNM) Total Non-Current Liabilities (2023 - 2024) Analysis & Trends
From Q4 2023 onward, Contineum Therapeutics has reported Total Non-Current Liabilities for 5 quarters.
- In earlier years, Total Non-Current Liabilities was $198.21 million in FY2023.
- Quarterly Total Non-Current Liabilities has moved between $3.85 million (Q2 2024) and $198.97 million (Q1 2024) over five years.
- Per Business Quant data, CTNM's Total Non-Current Liabilities in the three quarters before Q4 2024 was $5.81 million (Q3 2024), $3.85 million (Q2 2024) and $198.97 million (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Contineum Therapeutics | 476.97 Mn | 476.97 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 14.78 Mn |
| Sep 30, 2024 | 5.81 Mn |
| Jun 30, 2024 | 3.85 Mn |
| Mar 31, 2024 | 198.97 Mn |
| Dec 31, 2023 | 198.21 Mn |
API Access
Contineum Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CTNM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CTNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();