Impact Biomedical (IBO) Net Long-Term Debt Issued (Repaid) (2022 - 2026)
Impact Biomedical's Non-Current Debt came in at $22.88 million for Q3 2025, up 187.1% from $7.97 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Impact Biomedical (IBO) Net Long-Term Debt Issued (Repaid) (2022 - 2026) Analysis & Trends
At the end of FY2024, Impact Biomedical's Non-Current Debt was $12.07 million, unchanged from FY2023.
- Going back by year, Non-Current Debt was $12.07 million in FY2023.
- Business Quant data shows IBO's Non-Current Debt at $22.35 million (Q2 2025), $9.14 million (Q1 2025) and $12.07 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 4.91 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | - |
| 10 | Impact Biomedical | 43.92 Mn | 47.11 Mn | 15,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 481,000.00 |
| Dec 31, 2024 | 317,000.00 |
| Sep 30, 2024 | -60,000.00 |
| Jun 30, 2024 | 384,000.00 |
| Mar 31, 2024 | 483,000.00 |
| Dec 31, 2023 | 232,000.00 |
| Sep 30, 2023 | 870,000.00 |
| Jun 30, 2023 | 746,000.00 |
| Mar 31, 2023 | 1.02 Mn |
| Dec 31, 2022 | 539,000.00 |
| Sep 30, 2022 | 773,000.00 |
API Access
Impact Biomedical Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=IBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "IBO", "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-current-debt&ticker=IBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();