Rapport Therapeutics (RAPP) Accumulated Expenses (2023 - 2026)
Rapport Therapeutics (RAPP) reported Accumulated Expenses of $23.16 million for Q2 2026, up 233.5% from $6.94 million a year earlier and up 165.5% from the prior quarter.
Rapport Therapeutics (RAPP) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Rapport Therapeutics posted Accumulated Expenses of $12.1 million, up 99.2% from FY2024.
- By year, Accumulated Expenses came in at $6.08 million in FY2024 (+7.9%) and $5.63 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 79.4% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.72 million (Q1 2026), $12.1 million (Q4 2025) and $8.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Rapport Therapeutics | 1.61 Bn | 1.61 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.16 Mn |
| Mar 31, 2026 | 8.72 Mn |
| Dec 31, 2025 | 12.10 Mn |
| Sep 30, 2025 | 8.60 Mn |
| Jun 30, 2025 | 6.94 Mn |
| Mar 31, 2025 | 6.24 Mn |
| Dec 31, 2024 | 6.08 Mn |
| Sep 30, 2024 | 5.06 Mn |
| Jun 30, 2024 | 5.52 Mn |
| Dec 31, 2023 | 5.63 Mn |
Rapport 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=RAPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=RAPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();