FibroBiologics (FBLG) Debt Ratio (2022 - 2026)
FibroBiologics' Debt Ratio was 0.02 in Q2 2026, down 97.3% from 0.58 a year earlier and down 62.3% from the prior quarter.
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Analysis
FibroBiologics (FBLG) Debt Ratio (2022 - 2026) Analysis & Trends
For FY2025, Debt Ratio at FibroBiologics came in at 1.21, up 98.3% from FY2024.
- In earlier years, Debt Ratio was 0.61 in FY2024 and 1.13 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Debt Ratio since Q3 2024.
- Per Business Quant data, FBLG's Debt Ratio in the three quarters before Q2 2026 was 0.04 (Q1 2026), 1.21 (Q4 2025) and 1.11 (Q3 2025).
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 | FibroBiologics | 8.66 Mn | 8.66 Mn | - | 0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Mar 31, 2026 | 0.04 |
| Dec 31, 2025 | 1.21 |
| Sep 30, 2025 | 1.11 |
| Jun 30, 2025 | 0.58 |
| Mar 31, 2025 | 0.51 |
| Dec 31, 2024 | 0.61 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | 0.03 |
| Mar 31, 2024 | 0.04 |
| Dec 31, 2022 | 1.13 |
API Access
FibroBiologics 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=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "FBLG", "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=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();