Camp4 Therapeutics (CAMP) Accumulated Expenses (2023 - 2026)
Camp4 Therapeutics (CAMP) reported Accumulated Expenses of $4.24 million for Q2 2026, up 47.6% from $2.87 million a year earlier but down 1.5% from the prior quarter.
Camp4 Therapeutics (CAMP) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Camp4 Therapeutics posted Accumulated Expenses of $5.66 million, up 17.1% from FY2024.
- By year, Accumulated Expenses came in at $4.83 million in FY2024 (+46.4%) and $3.3 million in FY2023.
- Five-year quarterly Accumulated Expenses spans a low of $1.84 million in Q1 2025 and a high of $5.66 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 51.1% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.3 million (Q1 2026), $5.66 million (Q4 2025) and $4.07 million (Q3 2025).
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 | Camp4 Therapeutics | 341.83 Mn | -77.81 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.98 Mn |
| Jun 30, 2026 | 4.24 Mn |
| Mar 31, 2026 | 4.30 Mn |
| Dec 31, 2025 | 5.66 Mn |
| Sep 30, 2025 | 4.07 Mn |
| Jun 30, 2025 | 2.87 Mn |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 4.83 Mn |
| Sep 30, 2024 | 3.68 Mn |
| Dec 31, 2023 | 3.30 Mn |
Camp4 Therapeutics 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=accumulated-expenses&ticker=CAMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CAMP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();