Opus Genetics (IRD) Interest Expenses (2020 - 2026)
Opus Genetics' Interest Expenses was $69,000 in Q1 2026, up 13.1% from the prior quarter.
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Analysis
Opus Genetics (IRD) Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Opus Genetics' Interest Expenses was $198,000 through Mar 31, 2026; for FY2025, it was $129,000.
- Interest Expenses shows a five-year compound annual growth rate of -54.8% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $9,000 in FY2022 (+350.0%) and $2,000 in FY2021 (-100.0%).
- The Q1 2026 figure marks the highest quarterly Interest Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | - |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | - |
| 10 | Opus Genetics | 409.11 Mn | 184.39 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 69,000.00 |
| Dec 31, 2025 | 61,000.00 |
| Sep 30, 2025 | 68,000.00 |
| Jun 30, 2022 | 4,000.00 |
| Mar 31, 2022 | 5,000.00 |
| Dec 31, 2021 | 2,000.00 |
| Dec 31, 2020 | 5.43 Mn |
| Sep 30, 2020 | 179,000.00 |
| Jun 30, 2020 | 689,000.00 |
| Mar 31, 2020 | 554,000.00 |
API Access
Opus Genetics Interest Expenses 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=interest-expenses&ticker=IRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=IRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();