Metagenomi Therapeutics, Inc. (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.
Metagenomi Therapeutics, Inc. (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 Comparison
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 |
Metagenomi Therapeutics, Inc. 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_KEY
import 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();