Rapport Therapeutics (RAPP) Other Accumulated Expenses (2023 - 2026)
Rapport Therapeutics' Other Accumulated Expenses came in at $221,000 for Q2 2026, up 215.7% from $70,000 a year earlier and up 53.5% from the prior quarter.
Rapport Therapeutics (RAPP) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Rapport Therapeutics' Other Accumulated Expenses was $6,000, down 98.7% from FY2024.
- Going back by year, Other Accumulated Expenses was $469,000 in FY2024 (+311.4%) and $114,000 in FY2023.
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses since Q1 2025.
- Year-over-year, Other Accumulated Expenses increased in two of the last six quarters, with growth averaging 38.2%.
- Business Quant data shows RAPP's Other Accumulated Expenses at $144,000 (Q1 2026), $6,000 (Q4 2025) and $104,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Rapport Therapeutics | 1.54 Bn | 1.54 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 221,000.00 |
| Mar 31, 2026 | 144,000.00 |
| Dec 31, 2025 | 6,000.00 |
| Sep 30, 2025 | 104,000.00 |
| Jun 30, 2025 | 70,000.00 |
| Mar 31, 2025 | 324,000.00 |
| Dec 31, 2024 | 469,000.00 |
| Sep 30, 2024 | 278,000.00 |
| Jun 30, 2024 | 369,000.00 |
| Dec 31, 2023 | 114,000.00 |
Rapport Therapeutics Other 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=other-accumulated-expenses&ticker=RAPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=RAPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();