Rapport Therapeutics (RAPP) Net Cash Flow (2023 - 2026)
Rapport Therapeutics' Net Cash Flow was -$14.44 million in Q2 2026, compared with -$2.54 million a year earlier.
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Analysis
Rapport Therapeutics (RAPP) Net Cash Flow (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rapport Therapeutics' Net Cash Flow was $8.55 million through Jun 30, 2026; for FY2025, it was -$4.16 million.
- In earlier years, Net Cash Flow was -$13.34 million in FY2024 and $39.1 million in FY2023.
- Quarterly Net Cash Flow has moved between -$198.71 million (Q4 2025) and $196.29 million (Q3 2025) over five years.
- Per Business Quant data, RAPP's Net Cash Flow in the three quarters before Q2 2026 was $25.41 million (Q1 2026), -$198.71 million (Q4 2025) and $196.29 million (Q3 2025).
Peer Set
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 | Rapport Therapeutics | 1.60 Bn | 1.60 Bn | - | -14.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.44 Mn |
| Mar 31, 2026 | 25.41 Mn |
| Dec 31, 2025 | -198.71 Mn |
| Sep 30, 2025 | 196.29 Mn |
| Jun 30, 2025 | -2.54 Mn |
| Mar 31, 2025 | 799,000.00 |
| Dec 31, 2024 | 17.49 Mn |
| Sep 30, 2024 | -70.85 Mn |
| Jun 30, 2024 | 35.90 Mn |
| Mar 31, 2024 | 4.12 Mn |
| Dec 31, 2023 | -89.16 Mn |
| Sep 30, 2023 | 79.88 Mn |
API Access
Rapport 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=RAPP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "RAPP", "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=RAPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();