FibroBiologics (FBLG) EBITDA (2023 - 2026)
FibroBiologics' EBITDA was -$3.97 million in Q2 2026, compared with -$4.43 million a year earlier.
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Analysis
FibroBiologics (FBLG) EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, FibroBiologics' EBITDA was -$16.47 million through Jun 30, 2026; for FY2025, it came in at -$16.41 million.
- In earlier years, EBITDA was -$13.54 million in FY2024 and -$8.84 million in FY2023.
- Quarterly EBITDA has moved between -$5 million (Q1 2026) and -$2.04 million (Q3 2023) over five years.
- Per Business Quant data, FBLG's EBITDA in the three quarters before Q2 2026 was -$5 million (Q1 2026), -$2.52 million (Q4 2025) and -$4.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.30 Bn |
| 10 | FibroBiologics | 8.66 Mn | 8.66 Mn | - | -3.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.97 Mn |
| Mar 31, 2026 | -5.00 Mn |
| Dec 31, 2025 | -2.52 Mn |
| Sep 30, 2025 | -4.97 Mn |
| Jun 30, 2025 | -4.43 Mn |
| Mar 31, 2025 | -4.48 Mn |
| Dec 31, 2024 | -3.62 Mn |
| Sep 30, 2024 | -3.31 Mn |
| Jun 30, 2024 | -3.19 Mn |
| Mar 31, 2024 | -3.42 Mn |
| Dec 31, 2023 | -2.45 Mn |
| Sep 30, 2023 | -2.04 Mn |
| Jun 30, 2023 | -2.09 Mn |
| Mar 31, 2023 | -2.26 Mn |
API Access
FibroBiologics EBITDA 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=ebitda&ticker=FBLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FBLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();