Metagenomi Therapeutics (MGX) Receivables - Net (2023 - 2025)
Metagenomi Therapeutics (MGX) posted Receivables - Net of $305,000 for Q4 2025, down 75.7% from $1.26 million a year earlier and down 69.5% from the prior quarter.
Metagenomi Therapeutics (MGX) Receivables - Net (2023 - 2025) Analysis & Trends
Since Q4 2023, Metagenomi Therapeutics has reported Receivables - Net for 9 quarters.
- In prior years, Metagenomi Therapeutics' Receivables - Net was $1.26 million in FY2024 (-48.7%) and $2.45 million in FY2023.
- The Q4 2025 figure stands as the lowest quarterly Receivables - Net in data going back to Q4 2023.
- On a year-over-year basis, Receivables - Net increased in 1 of the last five quarters, with an average decline of 28.1%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $1 million (Q3 2025), $900,000 (Q2 2025) and $1.01 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Metagenomi Therapeutics | 30.98 Mn | -574.76 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 305,000.00 |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 900,000.00 |
| Mar 31, 2025 | 1.01 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 589,000.00 |
| Jun 30, 2024 | 1.65 Mn |
| Mar 31, 2024 | 2.10 Mn |
| Dec 31, 2023 | 2.00 Mn |
Metagenomi Therapeutics Receivables - Net 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=receivables-net&ticker=MGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=MGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();