Metagenomi Therapeutics (MGX) EBITDA (2023 - 2026)
Metagenomi Therapeutics' EBITDA was -$27.51 million in Q2 2026, compared with -$19.65 million a year earlier.
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Analysis
Metagenomi Therapeutics (MGX) EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Metagenomi Therapeutics' EBITDA was -$95.4 million through Jun 30, 2026; for FY2025, it was -$90.7 million.
- In earlier years, EBITDA was -$83.49 million in FY2024 and -$74.29 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly EBITDA since Q1 2024.
- Per Business Quant data, MGX's EBITDA in the three quarters before Q2 2026 was -$23.31 million (Q1 2026), -$23.07 million (Q4 2025) and -$21.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Metagenomi Therapeutics | 30.98 Mn | -574.76 Mn | - | -27.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.51 Mn |
| Mar 31, 2026 | -23.31 Mn |
| Dec 31, 2025 | -23.07 Mn |
| Sep 30, 2025 | -21.52 Mn |
| Jun 30, 2025 | -19.65 Mn |
| Mar 31, 2025 | -26.46 Mn |
| Dec 31, 2024 | -19.16 Mn |
| Sep 30, 2024 | -21.02 Mn |
| Jun 30, 2024 | -15.55 Mn |
| Mar 31, 2024 | -27.76 Mn |
| Dec 31, 2023 | -19.00 Mn |
| Sep 30, 2023 | -21.24 Mn |
| Jun 30, 2023 | -16.95 Mn |
| Mar 31, 2023 | -17.10 Mn |
API Access
Metagenomi Therapeutics 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=MGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MGX", "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=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();