Metagenomi Therapeutics (MGX) Price to Sales (2024 - 2026)
Metagenomi Therapeutics' (MGX) Price to Sales came in at 2.26 for Q1 2026, up 101.1% from 1.12 a year earlier but down 6.6% from the prior quarter.
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Analysis
Metagenomi Therapeutics (MGX) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, Metagenomi Therapeutics' Price to Sales stood at 2.42, down 6.4% from FY2024.
- In prior years, Metagenomi Therapeutics' Price to Sales was 2.58 in FY2024.
- Quarterly Price to Sales has run from a low of 1.12 in Q1 2025 to a high of 4.72 in Q1 2024 over five years.
- On a year-over-year basis, Price to Sales increased in two of the last five quarters, with growth averaging 14.8%.
- According to Business Quant data, Price to Sales for the three prior quarters was 2.42 (Q4 2025), 2.88 (Q3 2025) and 1.65 (Q2 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 |
|---|---|
| Mar 31, 2026 | 2.26 |
| Dec 31, 2025 | 2.42 |
| Sep 30, 2025 | 2.88 |
| Jun 30, 2025 | 1.65 |
| Mar 31, 2025 | 1.12 |
| Dec 31, 2024 | 2.58 |
| Sep 30, 2024 | 1.47 |
| Jun 30, 2024 | 2.73 |
| Mar 31, 2024 | 4.72 |
API Access
Metagenomi Therapeutics Price to Sales 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=price-to-sales&ticker=MGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();