FibroBiologics (FBLG) Interest Expenses (2023 - 2026)
FibroBiologics' Interest Expenses was $7,000 in Q2 2026, up 75.0% from the prior quarter.
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Analysis
FibroBiologics (FBLG) Interest Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, FibroBiologics' Interest Expenses was $215,000 through Jun 30, 2026; for FY2025, it came in at $204,000, up 920.0% from FY2024.
- Interest Expenses shows a three-year compound annual growth rate of -32.2% (FY2022 to FY2025).
- In earlier years, Interest Expenses was $20,000 in FY2024 (-86.4%), $147,000 in FY2023 (-77.5%) and $654,000 in FY2022.
- Quarterly Interest Expenses has moved between $1,000 (Q4 2023) and $204,000 (Q4 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | FibroBiologics | 8.66 Mn | 8.66 Mn | - | 7,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,000.00 |
| Mar 31, 2026 | 4,000.00 |
| Dec 31, 2025 | 204,000.00 |
| Dec 31, 2024 | 6,000.00 |
| Sep 30, 2024 | 5,000.00 |
| Jun 30, 2024 | 5,000.00 |
| Mar 31, 2024 | 4,000.00 |
| Dec 31, 2023 | 1,000.00 |
| Jun 30, 2023 | 10,000.00 |
| Mar 31, 2023 | 135,000.00 |
API Access
FibroBiologics Interest Expenses 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=interest-expenses&ticker=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();