Metagenomi Therapeutics (MGX) Prepaid Assets (2023 - 2026)
Metagenomi Therapeutics (MGX) reported Prepaid Assets of $3.8 million for Q2 2026, down 34.6% from $5.82 million a year earlier and down 13.5% from the prior quarter.
Metagenomi Therapeutics (MGX) Prepaid Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Metagenomi Therapeutics posted Prepaid Assets of $4.43 million, down 47.2% from FY2024.
- By year, Prepaid Assets came in at $8.4 million in FY2024 (+80.9%) and $4.64 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Prepaid Assets in data going back to Q4 2023.
- Year over year, Prepaid Assets has now declined in each of the last five quarters, with an average decline of 9.4% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.4 million (Q1 2026), $4.43 million (Q4 2025) and $4.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Metagenomi Therapeutics | 40.04 Mn | 40.04 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.80 Mn |
| Mar 31, 2026 | 4.40 Mn |
| Dec 31, 2025 | 4.43 Mn |
| Sep 30, 2025 | 4.75 Mn |
| Jun 30, 2025 | 5.82 Mn |
| Mar 31, 2025 | 6.21 Mn |
| Dec 31, 2024 | 8.40 Mn |
| Sep 30, 2024 | 7.12 Mn |
| Jun 30, 2024 | 6.01 Mn |
| Mar 31, 2024 | 6.16 Mn |
| Dec 31, 2023 | 4.64 Mn |
Metagenomi Therapeutics Prepaid 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=prepaid-assets&ticker=MGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();