FibroBiologics (FBLG) Total Liabilities (2022 - 2026)
FibroBiologics' Total Liabilities came in at $3.29 million for Q2 2026, down 74.8% from $13.05 million a year earlier and down 1.3% from the prior quarter.
FibroBiologics (FBLG) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, FibroBiologics' Total Liabilities was $3.46 million, down 74.7% from FY2024.
- Total Liabilities carries a three-year compound annual growth rate of -26.8% (FY2022 to FY2025).
- Going back by year, Total Liabilities was $13.71 million in FY2024 (+29.7%), $10.57 million in FY2023 (+19.8%) and $8.82 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Total Liabilities in data going back to Q4 2022.
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with an average decline of 28.1% over the last seven quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2024 (growth of 29.7%), and the weakest in Q2 2026 (a decline of 74.8%).
- Business Quant data shows FBLG's Total Liabilities at $3.34 million (Q1 2026), $3.46 million (Q4 2025) and $8.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 115.64 Bn |
| 10 | FibroBiologics | 6.40 Mn | -8.42 Mn | - | 3.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.29 Mn |
| Mar 31, 2026 | 3.34 Mn |
| Dec 31, 2025 | 3.46 Mn |
| Sep 30, 2025 | 8.62 Mn |
| Jun 30, 2025 | 13.05 Mn |
| Mar 31, 2025 | 9.08 Mn |
| Dec 31, 2024 | 13.71 Mn |
| Sep 30, 2024 | 7.73 Mn |
| Jun 30, 2024 | 11.30 Mn |
| Mar 31, 2024 | 15.26 Mn |
| Dec 31, 2023 | 10.57 Mn |
| Dec 31, 2022 | 8.82 Mn |
FibroBiologics Total 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-liabilities&ticker=FBLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();