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 | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Opus Genetics | 401.98 Mn | 177.27 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();