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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Contineum Therapeutics | 491.58 Mn | 491.58 Mn | - |
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 |
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_KEY
import 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();