Metagenomi Therapeutics (MGX) Operating Expenses (2023 - 2026)
Metagenomi Therapeutics (MGX) posted Operating Expenses of $28.52 million for Q2 2026, down 3.3% from $29.5 million a year earlier but up 10.4% from the prior quarter.
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Analysis
Metagenomi Therapeutics (MGX) Operating Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Metagenomi Therapeutics was $114.13 million, down 9.1% year-over-year; for FY2025, it came in at $121.22 million, down 14.1% from FY2024.
- In prior years, Metagenomi Therapeutics' Operating Expenses was $141.2 million in FY2024 (+14.6%) and $123.25 million in FY2023.
- Quarterly Operating Expenses has run from a low of $25.84 million in Q1 2026 to a high of $40.19 million in Q1 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last eight quarters, with an average decline of 10.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 51.1%; the weakest was Q1 2025, with a decline of 20.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $25.84 million (Q1 2026), $28.28 million (Q4 2025) and $31.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Metagenomi Therapeutics | 30.98 Mn | -574.76 Mn | - | 28.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.52 Mn |
| Mar 31, 2026 | 25.84 Mn |
| Dec 31, 2025 | 28.28 Mn |
| Sep 30, 2025 | 31.50 Mn |
| Jun 30, 2025 | 29.50 Mn |
| Mar 31, 2025 | 31.95 Mn |
| Dec 31, 2024 | 30.24 Mn |
| Sep 30, 2024 | 33.90 Mn |
| Jun 30, 2024 | 36.87 Mn |
| Mar 31, 2024 | 40.19 Mn |
| Dec 31, 2023 | 32.60 Mn |
| Sep 30, 2023 | 34.76 Mn |
| Jun 30, 2023 | 29.30 Mn |
| Mar 31, 2023 | 26.60 Mn |
API Access
Metagenomi Therapeutics Operating 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=operating-expenses&ticker=MGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();