Dyne Therapeutics (DYN) Research & Development (2019 - 2026)
Dyne Therapeutics (DYN) posted Research & Development of $152.17 million for Q2 2026, up 53.3% from $99.24 million a year earlier and up 50.8% from the prior quarter.
Dyne Therapeutics (DYN) Research & Development (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Dyne Therapeutics was $445.71 million, up 17.2% year-over-year; for FY2025, it came in at $398.33 million, up 41.6% from FY2024.
- Annual Research & Development has increased for six consecutive years, with a five-year compound annual growth rate of 54.5% (FY2020 to FY2025).
- In prior years, Dyne Therapeutics' Research & Development was $281.41 million in FY2024 (+33.5%), $210.76 million in FY2023 (+47.6%), $142.76 million in FY2022 (+17.7%) and $121.31 million in FY2021 (+168.4%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q3 2019.
- On a year-over-year basis, Research & Development increased in seven of the last eight quarters, with growth averaging 46.9%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q3 2021, with growth of 277.2%; the weakest was Q4 2022, with a decline of 21.5%.
- According to Business Quant data, Research & Development for the three prior quarters was $100.89 million (Q1 2026), $95.43 million (Q4 2025) and $97.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Dyne Therapeutics | 2.72 Bn | -1.06 Bn | - | 152.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.17 Mn |
| Mar 31, 2026 | 100.89 Mn |
| Dec 31, 2025 | 95.43 Mn |
| Sep 30, 2025 | 97.22 Mn |
| Jun 30, 2025 | 99.24 Mn |
| Mar 31, 2025 | 106.45 Mn |
| Dec 31, 2024 | 81.81 Mn |
| Sep 30, 2024 | 92.80 Mn |
| Jun 30, 2024 | 62.26 Mn |
| Mar 31, 2024 | 44.54 Mn |
| Dec 31, 2023 | 58.84 Mn |
| Sep 30, 2023 | 55.25 Mn |
| Jun 30, 2023 | 59.13 Mn |
| Mar 31, 2023 | 37.54 Mn |
| Dec 31, 2022 | 33.19 Mn |
| Sep 30, 2022 | 34.67 Mn |
| Jun 30, 2022 | 46.66 Mn |
| Mar 31, 2022 | 28.24 Mn |
| Dec 31, 2021 | 42.30 Mn |
| Sep 30, 2021 | 36.51 Mn |
Dyne 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=DYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "DYN", "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=DYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();