Moleculin Biotech (MBRX) EBITDA (2016 - 2026)
Moleculin Biotech (MBRX) posted EBITDA of -$7.55 million for Q2 2026, compared with -$5.69 million a year earlier.
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Analysis
Moleculin Biotech (MBRX) EBITDA (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Moleculin Biotech was -$26.65 million; for FY2025, it came in at -$25.01 million.
- In prior years, Moleculin Biotech's EBITDA was -$26.52 million in FY2024, -$29.5 million in FY2023, -$30.51 million in FY2022 and -$22.8 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly EBITDA since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Moleculin Biotech | 35.50 Mn | 5.10 Mn | - | -7.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.55 Mn |
| Dec 31, 2025 | -7.52 Mn |
| Sep 30, 2025 | -5.89 Mn |
| Jun 30, 2025 | -5.69 Mn |
| Mar 31, 2025 | -5.91 Mn |
| Dec 31, 2024 | -6.61 Mn |
| Sep 30, 2024 | -7.10 Mn |
| Jun 30, 2024 | -6.15 Mn |
| Mar 31, 2024 | -6.65 Mn |
| Dec 31, 2023 | -8.88 Mn |
| Sep 30, 2023 | -5.92 Mn |
| Jun 30, 2023 | -6.38 Mn |
| Mar 31, 2023 | -8.32 Mn |
| Dec 31, 2022 | -7.02 Mn |
| Sep 30, 2022 | -9.05 Mn |
| Jun 30, 2022 | -7.40 Mn |
| Mar 31, 2022 | -7.04 Mn |
| Dec 31, 2021 | -5.17 Mn |
| Sep 30, 2021 | -6.12 Mn |
| Jun 30, 2021 | -5.47 Mn |
API Access
Moleculin 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=MBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MBRX", "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=MBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();