Opus Genetics (IRD) Total Non-Current Liabilities (2010 - 2026)
Opus Genetics (IRD) recorded Total Non-Current Liabilities of $43.81 million in Q2 2026, up 669.7% from $5.69 million a year earlier and up 24.2% from the prior quarter.
Opus Genetics (IRD) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Opus Genetics reported Total Non-Current Liabilities of $8.91 million, down 70.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $30.14 million in FY2024 (+669.4%), $3.92 million in FY2023 (+42.3%), $2.75 million in FY2022 (-28.6%) and $3.86 million in FY2021 (+21.0%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 240.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 669.7% in Q2 2026, against a decline of 85.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.27 million (Q1 2026), $8.91 million (Q4 2025) and $14.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.34 Bn | 1,100.93 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 615.91 Bn | 534.44 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 505.47 Bn | 478.59 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 368.25 Bn | 322.63 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.18 Bn | 262.17 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.22 Bn | 191.62 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.68 Bn | 164.87 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.14 Bn | 116.79 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Opus Genetics | 386.71 Mn | 161.99 Mn | - | 43.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.81 Mn |
| Mar 31, 2026 | 35.27 Mn |
| Dec 31, 2025 | 8.91 Mn |
| Sep 30, 2025 | 14.66 Mn |
| Jun 30, 2025 | 5.69 Mn |
| Mar 31, 2025 | 27.59 Mn |
| Dec 31, 2024 | 30.14 Mn |
| Sep 30, 2024 | 6.02 Mn |
| Jun 30, 2024 | 4.16 Mn |
| Mar 31, 2024 | 5.69 Mn |
| Dec 31, 2023 | 3.92 Mn |
| Sep 30, 2023 | 3.82 Mn |
| Jun 30, 2023 | 5.66 Mn |
| Mar 31, 2023 | 4.15 Mn |
| Dec 31, 2022 | 2.75 Mn |
| Sep 30, 2022 | 2.69 Mn |
| Jun 30, 2022 | 3.30 Mn |
| Mar 31, 2022 | 3.21 Mn |
| Dec 31, 2021 | 3.86 Mn |
| Sep 30, 2021 | 2.64 Mn |
Opus Genetics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=IRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=IRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();