Camp4 Therapeutics (CAMP) Net Cash Flow (2023 - 2026)
Camp4 Therapeutics (CAMP) reported Net Cash Flow of -$12.83 million for Q2 2026, compared with -$10.27 million a year earlier.
Camp4 Therapeutics (CAMP) Net Cash Flow (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Camp4 Therapeutics' Net Cash Flow came in at $47.27 million, up 78.7% year-over-year; for FY2025, it was $46.05 million, up 79.5% from FY2024.
- By year, Net Cash Flow came in at $25.66 million in FY2024 and -$44.53 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Net Cash Flow since Q1 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$10.94 million (Q1 2026), $34.83 million (Q4 2025) and $36.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | -1.27 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -2.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 1.53 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 757.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.62 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -4.43 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -722.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 652.90 Mn |
| 10 | Camp4 Therapeutics | 199.92 Mn | 199.92 Mn | - | -12.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.83 Mn |
| Mar 31, 2026 | -10.94 Mn |
| Dec 31, 2025 | 34.83 Mn |
| Sep 30, 2025 | 36.20 Mn |
| Jun 30, 2025 | -10.27 Mn |
| Mar 31, 2025 | -14.72 Mn |
| Dec 31, 2024 | 61.51 Mn |
| Sep 30, 2024 | -10.08 Mn |
| Jun 30, 2024 | -14.41 Mn |
| Mar 31, 2024 | -11.36 Mn |
| Dec 31, 2023 | -12.09 Mn |
Camp4 Therapeutics Net Cash Flow 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=net-cash-flow&ticker=CAMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=CAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();