FibroBiologics (FBLG) Enterprise Value (2024 - 2026)
FibroBiologics (FBLG) reported Enterprise Value of $2.81 million for Q2 2026, down 83.7% from $17.21 million a year earlier and down 19.3% from the prior quarter.
FibroBiologics (FBLG) Enterprise Value (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, FibroBiologics' Enterprise Value came in at -$8.49 million; for FY2025, it came in at $10.07 million, down 83.6% from FY2024.
- By year, Enterprise Value came in at $61.49 million in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Enterprise Value in data going back to Q1 2024.
- Year over year, Enterprise Value has now declined in each of the last six quarters, with an average decline of 85.5% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.48 million (Q1 2026), $10.07 million (Q4 2025) and $23.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 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 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.81 Mn |
| Mar 31, 2026 | 3.48 Mn |
| Dec 31, 2025 | 10.07 Mn |
| Sep 30, 2025 | 23.20 Mn |
| Jun 30, 2025 | 17.21 Mn |
| Mar 31, 2025 | 25.77 Mn |
| Dec 31, 2024 | 61.49 Mn |
| Sep 30, 2024 | 99.27 Mn |
| Jun 30, 2024 | 169.47 Mn |
| Mar 31, 2024 | 345.54 Mn |
FibroBiologics Enterprise Value 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=enterprise-value&ticker=FBLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();