Aura Biosciences (AURA) Research & Development (2020 - 2026)
Aura Biosciences (AURA) posted Research & Development of $30.75 million for Q2 2026, up 34.4% from $22.88 million a year earlier and up 10.0% from the prior quarter.
Aura Biosciences (AURA) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Aura Biosciences was $102.78 million, up 20.1% year-over-year; for FY2025, it came in at $90.3 million, up 23.2% from FY2024.
- Annual Research & Development has increased for five consecutive years, with a five-year compound annual growth rate of 38.0% (FY2020 to FY2025).
- In prior years, Aura Biosciences' Research & Development was $73.3 million in FY2024 (+12.4%), $65.23 million in FY2023 (+54.4%), $42.24 million in FY2022 (+67.9%) and $25.16 million in FY2021 (+39.5%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q3 2020.
- On a year-over-year basis, Research & Development increased in seven of the last eight quarters, with growth averaging 21.9%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2021, with growth of 125.2%; the weakest was Q4 2025, with a decline of 2.0%.
- According to Business Quant data, Research & Development for the three prior quarters was $27.96 million (Q1 2026), $21.9 million (Q4 2025) and $22.18 million (Q3 2025).
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 | Aura Biosciences | 636.40 Mn | 376.71 Mn | - | 30.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.75 Mn |
| Mar 31, 2026 | 27.96 Mn |
| Dec 31, 2025 | 21.90 Mn |
| Sep 30, 2025 | 22.18 Mn |
| Jun 30, 2025 | 22.88 Mn |
| Mar 31, 2025 | 23.34 Mn |
| Dec 31, 2024 | 22.33 Mn |
| Sep 30, 2024 | 17.04 Mn |
| Jun 30, 2024 | 16.88 Mn |
| Mar 31, 2024 | 17.05 Mn |
| Dec 31, 2023 | 20.28 Mn |
| Sep 30, 2023 | 15.43 Mn |
| Jun 30, 2023 | 15.12 Mn |
| Mar 31, 2023 | 14.41 Mn |
| Dec 31, 2022 | 13.16 Mn |
| Sep 30, 2022 | 11.29 Mn |
| Jun 30, 2022 | 9.51 Mn |
| Mar 31, 2022 | 8.28 Mn |
| Dec 31, 2021 | 7.98 Mn |
| Sep 30, 2021 | 6.37 Mn |
Aura Biosciences 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=AURA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "AURA", "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=AURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();