Opus Genetics (IRD) Non Operating Interest Expenses (2020 - 2026)
Opus Genetics (IRD) reported Non Operating Interest Expenses of $69,000 for Q1 2026, up 13.1% from the prior quarter.
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Analysis
Opus Genetics (IRD) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Opus Genetics' Non Operating Interest Expenses came in at $198,000; for FY2025, it was $129,000.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -54.8% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $9,000 in FY2022 (+350.0%) and $2,000 in FY2021 (-100.0%).
- The Q1 2026 figure ranks as the highest quarterly Non Operating Interest Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Opus Genetics | 400.02 Mn | 175.30 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 Non Operating 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=non-operating-interest-expenses&ticker=IRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=IRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();