Contineum Therapeutics (CTNM) Other Accumulated Expenses (2023 - 2025)
Contineum Therapeutics' Other Accumulated Expenses came in at $1.17 million for Q3 2025, down 12.5% from $1.34 million a year earlier and down 30.5% from the prior quarter.
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Analysis
Contineum Therapeutics (CTNM) Other Accumulated Expenses (2023 - 2025) Analysis & Trends
At the end of FY2024, Contineum Therapeutics' Other Accumulated Expenses was $3.15 million, up 103.8% from FY2023.
- Going back by year, Other Accumulated Expenses was $1.55 million in FY2023.
- The Q3 2025 figure represents the lowest quarterly Other Accumulated Expenses since Q2 2024.
- Year-over-year, Other Accumulated Expenses increased in three of the last four quarters, with growth averaging 49.0%.
- Business Quant data shows CTNM's Other Accumulated Expenses at $1.69 million (Q2 2025), $2.48 million (Q1 2025) and $3.15 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Contineum Therapeutics | 405.40 Mn | -584.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.17 Mn |
| Jun 30, 2025 | 1.69 Mn |
| Mar 31, 2025 | 2.48 Mn |
| Dec 31, 2024 | 3.15 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 973,000.00 |
| Mar 31, 2024 | 1.89 Mn |
| Dec 31, 2023 | 1.55 Mn |
API Access
Contineum Therapeutics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=CTNM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=CTNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();