Rapport Therapeutics (RAPP) Free Cash Flow (2023 - 2026)
Rapport Therapeutics (RAPP) recorded Free Cash Flow of -$41.53 million in Q2 2026, compared with -$25.09 million a year earlier.
Rapport Therapeutics (RAPP) Free Cash Flow (2023 - 2026) Analysis & Trends
On a TTM basis, Rapport Therapeutics' Free Cash Flow came in at -$97.15 million as of Jun 30, 2026; for FY2025, it was -$88.09 million.
- Across earlier years, Free Cash Flow came in at -$67.23 million in FY2024 and -$28.82 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Free Cash Flow in data going back to Q3 2023.
- Per Business Quant, the preceding three quarters came in at -$13.15 million (Q1 2026), -$24.87 million (Q4 2025) and -$17.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.67 Bn | 1,100.25 Bn | 19.71 Bn | 7.76 Bn |
| 2 | Johnson & Johnson | 635.68 Bn | 555.54 Bn | 17.30 Bn | 6.36 Bn |
| 3 | AbbVie | 504.96 Bn | 478.07 Bn | 12.70 Bn | 3.11 Bn |
| 4 | Merck | 357.95 Bn | 312.33 Bn | 12.21 Bn | 4.48 Bn |
| 5 | Novartis Ag | 290.91 Bn | 254.90 Bn | 11.24 Bn | 5.56 Bn |
| 6 | Astrazeneca | 265.07 Bn | 238.76 Bn | 12.86 Bn | 1.01 Bn |
| 7 | Amgen | 237.58 Bn | 192.98 Bn | 7.24 Bn | 3.49 Bn |
| 8 | Gilead Sciences | 194.90 Bn | 169.10 Bn | 6.22 Bn | 3.43 Bn |
| 9 | Pfizer | 171.11 Bn | 117.76 Bn | 10.94 Bn | 302.00 Mn |
| 10 | Rapport Therapeutics | 1.23 Bn | 413.75 Mn | - | -41.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -41.53 Mn |
| Mar 31, 2026 | -13.15 Mn |
| Dec 31, 2025 | -24.87 Mn |
| Sep 30, 2025 | -17.60 Mn |
| Jun 30, 2025 | -25.09 Mn |
| Mar 31, 2025 | -20.53 Mn |
| Dec 31, 2024 | -14.67 Mn |
| Sep 30, 2024 | -16.56 Mn |
| Jun 30, 2024 | -17.32 Mn |
| Mar 31, 2024 | -18.69 Mn |
| Dec 31, 2023 | -11.79 Mn |
| Sep 30, 2023 | -5.48 Mn |
Rapport Therapeutics Free 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=free-cash-flow&ticker=RAPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-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=free-cash-flow&ticker=RAPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();