Metagenomi Therapeutics (MGX) Accumulated Expenses (2023 - 2026)
Metagenomi Therapeutics (MGX) reported Accumulated Expenses of $7.6 million for Q2 2026, up 28.2% from $5.92 million a year earlier and up 62.0% from the prior quarter.
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Analysis
Metagenomi Therapeutics (MGX) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Metagenomi Therapeutics posted Accumulated Expenses of $6.72 million, down 20.2% from FY2024.
- By year, Accumulated Expenses came in at $8.42 million in FY2024 (-26.6%) and $11.47 million in FY2023.
- Five-year quarterly Accumulated Expenses spans a low of $4.69 million in Q1 2026 and a high of $11.47 million in Q4 2023.
- Year over year, Accumulated Expenses gained in two of the last seven quarters, with an average decline of 12.8%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.69 million (Q1 2026), $6.72 million (Q4 2025) and $9.9 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.60 Mn |
| Mar 31, 2026 | 4.69 Mn |
| Dec 31, 2025 | 6.72 Mn |
| Sep 30, 2025 | 9.90 Mn |
| Jun 30, 2025 | 5.92 Mn |
| Mar 31, 2025 | 6.12 Mn |
| Dec 31, 2024 | 8.42 Mn |
| Sep 30, 2024 | 8.84 Mn |
| Jun 30, 2024 | 10.98 Mn |
| Mar 31, 2024 | 7.08 Mn |
| Dec 31, 2023 | 11.47 Mn |
API Access
Metagenomi Therapeutics Accumulated Expenses 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=accumulated-expenses&ticker=MGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();