Opus Genetics (IRD) Cash & Equivalents (2010 - 2026)
Opus Genetics' Cash & Equivalents came in at $88.81 million for Q2 2026, up 173.9% from $32.43 million a year earlier and up 48.0% from the prior quarter.
Powered by 
Analysis
Opus Genetics (IRD) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Opus Genetics' Cash & Equivalents was $45.09 million, up 48.7% from FY2024.
- Cash & Equivalents carries a four-year compound annual growth rate of 16.4% (FY2021 to FY2025).
- Going back by year, Cash & Equivalents was $30.32 million in FY2024 (-40.0%), $50.5 million in FY2023 (+18.5%), $42.63 million in FY2022 (+73.8%) and $24.53 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 20.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2023 (growth of 206.0%), and the weakest in Q4 2024 (a decline of 40.0%).
- Business Quant data shows IRD's Cash & Equivalents at $60 million (Q1 2026), $45.09 million (Q4 2025) and $30.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Opus Genetics | 400.02 Mn | 175.30 Mn | - | 88.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.81 Mn |
| Mar 31, 2026 | 60.00 Mn |
| Dec 31, 2025 | 45.09 Mn |
| Sep 30, 2025 | 30.82 Mn |
| Jun 30, 2025 | 32.43 Mn |
| Mar 31, 2025 | 41.80 Mn |
| Dec 31, 2024 | 30.32 Mn |
| Sep 30, 2024 | 36.63 Mn |
| Jun 30, 2024 | 41.41 Mn |
| Mar 31, 2024 | 47.20 Mn |
| Dec 31, 2023 | 50.50 Mn |
| Sep 30, 2023 | 42.40 Mn |
| Jun 30, 2023 | 40.00 Mn |
| Mar 31, 2023 | 39.00 Mn |
| Dec 31, 2022 | 42.63 Mn |
| Sep 30, 2022 | 13.86 Mn |
| Dec 31, 2021 | 24.53 Mn |
| Sep 30, 2020 | 8.08 Mn |
| Jun 30, 2020 | 9.21 Mn |
| Mar 31, 2020 | 11.00 Mn |
API Access
Opus Genetics Cash & Equivalents 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=cash-and-equivalents&ticker=IRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=IRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();