Metagenomi Therapeutics (MGX) Assets (2023 - 2026)
Metagenomi Therapeutics' Assets came in at $173.7 million for Q2 2026, down 36.2% from $272.28 million a year earlier and down 11.8% from the prior quarter.
Metagenomi Therapeutics (MGX) Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Metagenomi Therapeutics' Assets was $221.1 million, down 31.9% from FY2024.
- Going back by year, Assets was $324.6 million in FY2024 (-11.0%) and $364.84 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Assets in data going back to Q4 2023.
- Year-over-year, Assets has declined for seven consecutive quarters, with an average decline of 28.8% over the last seven quarters.
- Business Quant data shows MGX's Assets at $196.95 million (Q1 2026), $221.1 million (Q4 2025) and $247.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 142.28 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 197.43 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 135.12 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 129.80 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 122.03 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 115.83 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 95.64 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 49.36 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 201.13 Bn |
| 10 | Metagenomi Therapeutics | 30.98 Mn | -574.76 Mn | - | 173.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.70 Mn |
| Mar 31, 2026 | 196.95 Mn |
| Dec 31, 2025 | 221.10 Mn |
| Sep 30, 2025 | 247.94 Mn |
| Jun 30, 2025 | 272.28 Mn |
| Mar 31, 2025 | 297.87 Mn |
| Dec 31, 2024 | 324.60 Mn |
| Sep 30, 2024 | 358.35 Mn |
| Jun 30, 2024 | 385.91 Mn |
| Mar 31, 2024 | 415.40 Mn |
| Dec 31, 2023 | 364.84 Mn |
Metagenomi Therapeutics Assets 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=assets&ticker=MGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();