Opus Genetics (IRD) Research & Development (2010 - 2026)
Opus Genetics' Research & Development was $11.21 million in Q2 2026, up 86.1% from $6.02 million a year earlier and up 6.0% from the prior quarter.
Opus Genetics (IRD) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opus Genetics' Research & Development was $38.62 million through Jun 30, 2026, up 24.0% year-over-year; for FY2025, it came in at $30.81 million, up 10.0% from FY2024.
- Research & Development has now increased for three consecutive years, with a five-year compound annual growth rate of 35.9% (FY2020 to FY2025).
- In earlier years, Research & Development was $28 million in FY2024 (+58.6%), $17.65 million in FY2023 (+23.0%), $14.36 million in FY2022 (-5.4%) and $15.17 million in FY2021 (+128.2%).
- The Q2 2026 figure marks the highest quarterly Research & Development in data going back to Q2 2010.
- Compared with a year earlier, Research & Development has increased for three straight quarters, with growth averaging 56.8% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2024 (growth of 157.1%); the worst was Q3 2025 (a decline of 28.6%).
- Per Business Quant data, IRD's Research & Development in the three quarters before Q2 2026 was $10.58 million (Q1 2026), $10.43 million (Q4 2025) and $6.41 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 | Opus Genetics | 417.37 Mn | 192.65 Mn | - | 11.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.21 Mn |
| Mar 31, 2026 | 10.58 Mn |
| Dec 31, 2025 | 10.43 Mn |
| Sep 30, 2025 | 6.41 Mn |
| Jun 30, 2025 | 6.02 Mn |
| Mar 31, 2025 | 7.95 Mn |
| Dec 31, 2024 | 8.18 Mn |
| Sep 30, 2024 | 8.98 Mn |
| Jun 30, 2024 | 6.09 Mn |
| Mar 31, 2024 | 4.75 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 30, 2023 | 3.49 Mn |
| Jun 30, 2023 | 4.72 Mn |
| Mar 31, 2023 | 5.60 Mn |
| Dec 31, 2022 | 3.59 Mn |
| Sep 30, 2022 | 2.84 Mn |
| Jun 30, 2022 | 3.16 Mn |
| Mar 31, 2022 | 4.77 Mn |
| Dec 31, 2021 | 4.74 Mn |
| Sep 30, 2021 | 3.13 Mn |
Opus Genetics 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=IRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "IRD", "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=IRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();