Damora Therapeutics (DMRA) Research & Development (2019 - 2026)
Damora Therapeutics' Research & Development came in at $25.54 million for Q2 2026, compared with $1.47 million a year earlier and up 7.4% from the prior quarter.
Damora Therapeutics (DMRA) Research & Development (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Damora Therapeutics reported Research & Development of $74.05 million; for FY2025, it was $26.88 million, up 320.1% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Going back by year, Research & Development was $6.4 million in FY2024 (-73.1%), $23.77 million in FY2023 (-50.7%), $48.21 million in FY2022 (+25.2%) and $38.49 million in FY2021 (+56.3%).
- The Q2 2026 figure represents the highest quarterly Research & Development in data going back to Q3 2019.
- Year-over-year, Research & Development increased in 1 of the last five quarters, with an average decline of 36.8%.
- The fastest year-over-year change in Research & Development over five years came in Q2 2022 (growth of 58.7%), and the weakest in Q2 2024 (a decline of 77.3%).
- Business Quant data shows DMRA's Research & Development at $23.78 million (Q1 2026), $23.32 million (Q4 2025) and $1.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Damora Therapeutics | 1.28 Bn | -57.65 Mn | - | 25.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.54 Mn |
| Mar 31, 2026 | 23.78 Mn |
| Dec 31, 2025 | 23.32 Mn |
| Sep 30, 2025 | 1.42 Mn |
| Jun 30, 2025 | 1.47 Mn |
| Mar 31, 2025 | 678,000.00 |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 1.09 Mn |
| Jun 30, 2024 | 1.83 Mn |
| Mar 31, 2024 | 2.46 Mn |
| Dec 31, 2023 | 2.77 Mn |
| Sep 30, 2023 | 2.55 Mn |
| Jun 30, 2023 | 8.09 Mn |
| Mar 31, 2023 | 10.36 Mn |
| Dec 31, 2022 | 10.77 Mn |
| Sep 30, 2022 | 10.49 Mn |
| Jun 30, 2022 | 13.71 Mn |
| Mar 31, 2022 | 13.24 Mn |
| Dec 31, 2021 | 10.12 Mn |
| Sep 30, 2021 | 9.75 Mn |
Damora Therapeutics Research & Development 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=research-and-development&ticker=DMRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "DMRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=DMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();