Metagenomi Therapeutics (MGX) Other Accumulated Expenses (2024 - 2026)
Metagenomi Therapeutics (MGX) posted Other Accumulated Expenses of $232,000 for Q2 2026, down 15.9% from $276,000 a year earlier but up 1.8% from the prior quarter.
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Analysis
Metagenomi Therapeutics (MGX) Other Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Metagenomi Therapeutics' Other Accumulated Expenses came in at $165,000, down 63.0% from FY2024.
- In prior years, Metagenomi Therapeutics' Other Accumulated Expenses was $446,000 in FY2024.
- Quarterly Other Accumulated Expenses has run from a low of $117,000 in Q1 2025 to a high of $446,000 in Q4 2024 over five years.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $228,000 (Q1 2026), $165,000 (Q4 2025) and $312,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Metagenomi Therapeutics | 38.53 Mn | 38.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 232,000.00 |
| Mar 31, 2026 | 228,000.00 |
| Dec 31, 2025 | 165,000.00 |
| Sep 30, 2025 | 312,000.00 |
| Jun 30, 2025 | 276,000.00 |
| Mar 31, 2025 | 117,000.00 |
| Dec 31, 2024 | 446,000.00 |
API Access
Metagenomi Therapeutics Other 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=other-accumulated-expenses&ticker=MGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();