FibroBiologics (FBLG) Total Non-Current Liabilities (2022 - 2024)
FibroBiologics (FBLG) recorded Total Non-Current Liabilities of $13.71 million in Q4 2024, up 29.8% from $10.57 million a year earlier and up 183.0% from the prior quarter.
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Analysis
FibroBiologics (FBLG) Total Non-Current Liabilities (2022 - 2024) Analysis & Trends
Starting with Q4 2022, FibroBiologics' Total Non-Current Liabilities history includes 6 quarters.
- Across earlier years, Total Non-Current Liabilities came in at $10.57 million in FY2023 (+69.1%) and $6.25 million in FY2022.
- Quarterly Total Non-Current Liabilities has ranged from $4.85 million in Q3 2024 to $15.26 million in Q1 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at $4.85 million (Q3 2024), $6.49 million (Q2 2024) and $15.26 million (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | FibroBiologics | 8.66 Mn | 8.66 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 13.71 Mn |
| Sep 30, 2024 | 4.85 Mn |
| Jun 30, 2024 | 6.49 Mn |
| Mar 31, 2024 | 15.26 Mn |
| Dec 31, 2023 | 10.57 Mn |
| Dec 31, 2022 | 6.25 Mn |
API Access
FibroBiologics Total Non-Current 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-non-current-liabilities&ticker=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();