Impact Biomedical (IBO) Debt Ratio (2022 - 2025)
Impact Biomedical's (IBO) Debt Ratio stood at 1.26 in Q3 2025, up 632.9% from 0.17 a year earlier and up 7.2% from the prior quarter.
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Analysis
Impact Biomedical (IBO) Debt Ratio (2022 - 2025) Analysis & Trends
For FY2024, Impact Biomedical's Debt Ratio came in at 0.44, up 61.7% from FY2023.
- Across earlier years, Debt Ratio came in at 0.27 in FY2023 (+25.9%) and 0.21 in FY2022.
- The Q3 2025 figure is the highest quarterly Debt Ratio in data going back to Q4 2022.
- On a year-over-year basis, Debt Ratio has increased for four consecutive quarters, with growth averaging 149.7% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at 1.17 (Q2 2025), 0.46 (Q1 2025) and 0.44 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Impact Biomedical | 598.41 Mn | 601.61 Mn | 2,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.26 |
| Jun 30, 2025 | 1.17 |
| Mar 31, 2025 | 0.46 |
| Dec 31, 2024 | 0.44 |
| Sep 30, 2024 | 0.17 |
| Jun 30, 2024 | 0.30 |
| Mar 31, 2024 | 0.29 |
| Dec 31, 2023 | 0.27 |
| Sep 30, 2023 | 0.26 |
| Jun 30, 2023 | 0.26 |
| Dec 31, 2022 | 0.21 |
API Access
Impact Biomedical Debt Ratio 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=debt-ratio&ticker=IBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=IBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();