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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 11.75 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 6.18 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 6.43 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | -584.00 Mn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 4.75 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 3.16 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 3.51 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -10.39 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 4.27 Bn |
| 10 | Metagenomi Therapeutics | 30.98 Mn | -574.76 Mn | - | -28.77 Mn |
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 |
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_KEY
import 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();