Metagenomi Therapeutics (MGX) EBIT (2023 - 2026)
Metagenomi Therapeutics (MGX) recorded EBIT of -$28.77 million in Q2 2026, compared with -$20.99 million a year earlier.
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Analysis
Metagenomi Therapeutics (MGX) EBIT (2023 - 2026) Analysis & Trends
On a TTM basis, Metagenomi Therapeutics' EBIT came in at -$100.57 million as of Jun 30, 2026; for FY2025, it was -$96.01 million.
- Across earlier years, EBIT came in at -$88.9 million in FY2024 and -$78.49 million in FY2023.
- The Q2 2026 figure is the lowest quarterly EBIT since Q1 2024.
- Per Business Quant, the preceding three quarters came in at -$24.59 million (Q1 2026), -$24.37 million (Q4 2025) and -$22.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 11.75 Bn |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 6.18 Bn |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 6.43 Bn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | -584.00 Mn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 4.75 Bn |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 3.16 Bn |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 3.51 Bn |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | -10.39 Bn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 4.27 Bn |
| 10 | Metagenomi Therapeutics | 29.94 Mn | -575.80 Mn | - | -28.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28.77 Mn |
| Mar 31, 2026 | -24.59 Mn |
| Dec 31, 2025 | -24.37 Mn |
| Sep 30, 2025 | -22.84 Mn |
| Jun 30, 2025 | -20.99 Mn |
| Mar 31, 2025 | -27.82 Mn |
| Dec 31, 2024 | -20.62 Mn |
| Sep 30, 2024 | -22.38 Mn |
| Jun 30, 2024 | -16.86 Mn |
| Mar 31, 2024 | -29.03 Mn |
| Dec 31, 2023 | -20.20 Mn |
| Sep 30, 2023 | -22.40 Mn |
| Jun 30, 2023 | -17.96 Mn |
| Mar 31, 2023 | -17.94 Mn |
API Access
Metagenomi Therapeutics EBIT 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=ebit&ticker=MGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();