Rapport Therapeutics (RAPP) Operating Leases (2023 - 2026)
Rapport Therapeutics' Operating Leases was $7.63 million in Q2 2026, down 24.5% from $10.1 million a year earlier and down 6.8% from the prior quarter.
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Analysis
Rapport Therapeutics (RAPP) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Rapport Therapeutics came in at $8.73 million.
- In earlier years, Operating Leases was $739,000 in FY2024 (-49.9%) and $1.48 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Operating Leases since Q1 2025.
- Compared with a year earlier, Operating Leases was higher in three of the last five quarters, with growth averaging 331.7%.
- Per Business Quant data, RAPP's Operating Leases in the three quarters before Q2 2026 was $8.19 million (Q1 2026), $8.73 million (Q4 2025) and $9.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Rapport Therapeutics | 1.60 Bn | 1.60 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.63 Mn |
| Mar 31, 2026 | 8.19 Mn |
| Dec 31, 2025 | 8.73 Mn |
| Sep 30, 2025 | 9.39 Mn |
| Jun 30, 2025 | 10.10 Mn |
| Mar 31, 2025 | 6.83 Mn |
| Dec 31, 2024 | 739,000.00 |
| Sep 30, 2024 | 931,000.00 |
| Jun 30, 2024 | 1.12 Mn |
| Dec 31, 2023 | 1.48 Mn |
API Access
Rapport Therapeutics Operating Leases 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=operating-leases&ticker=RAPP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=RAPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();