Fortress Biotech (FBIO) EBITDA (2010 - 2026)
Fortress Biotech (FBIO) recorded EBITDA of -$8.94 million in Q2 2026, compared with -$35.31 million a year earlier.
Fortress Biotech (FBIO) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Fortress Biotech's EBITDA came in at -$53.48 million as of Jun 30, 2026; for FY2025, it came in at -$65.52 million.
- Across earlier years, EBITDA came in at -$105.92 million in FY2024, -$136.31 million in FY2023, -$196.18 million in FY2022 and -$183.44 million in FY2021.
- Quarterly EBITDA has ranged from -$60.78 million in Q4 2021 to -$3.59 million in Q4 2025 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.87 Bn | 1,099.45 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 614.49 Bn | 533.02 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 502.45 Bn | 475.56 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 368.35 Bn | 322.73 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 298.42 Bn | 262.41 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.95 Bn | 235.64 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 235.96 Bn | 191.36 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 191.17 Bn | 165.37 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Fortress Biotech | 61.36 Mn | -375.20 Mn | 12.58 Mn | -8.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.94 Mn |
| Dec 31, 2025 | -3.25 Mn |
| Sep 30, 2025 | -5.33 Mn |
| Jun 30, 2025 | -34.86 Mn |
| Mar 31, 2025 | -20.83 Mn |
| Dec 31, 2024 | -22.41 Mn |
| Sep 30, 2024 | -20.79 Mn |
| Jun 30, 2024 | -25.82 Mn |
| Mar 31, 2024 | -34.74 Mn |
| Dec 31, 2023 | -17.93 Mn |
| Sep 30, 2023 | -11.89 Mn |
| Jun 30, 2023 | -47.01 Mn |
| Mar 31, 2023 | -56.31 Mn |
| Dec 31, 2022 | -52.03 Mn |
| Sep 30, 2022 | -48.36 Mn |
| Jun 30, 2022 | -48.55 Mn |
| Mar 31, 2022 | -45.13 Mn |
| Dec 31, 2021 | -58.49 Mn |
| Sep 30, 2021 | -47.85 Mn |
| Jun 30, 2021 | -40.92 Mn |
Fortress Biotech 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=FBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "FBIO", "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=FBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();