Macrogenics (MGNX) Revenue (2012 - 2026)
Powered by 
Analysis
Macrogenics (MGNX) Revenue (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 24.40 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 25.40 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 17.40 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 18.09 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 15.07 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 10.37 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 8.30 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 16.58 Bn |
| 10 | Macrogenics | 150.40 Mn | -167.37 Mn | - | 32.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.83 Mn |
| Mar 31, 2026 | 20.78 Mn |
| Dec 31, 2025 | 41.23 Mn |
| Sep 30, 2025 | 72.84 Mn |
| Jun 30, 2025 | 6.87 Mn |
| Mar 31, 2025 | 13.19 Mn |
| Dec 31, 2024 | 19.35 Mn |
| Sep 30, 2024 | 110.71 Mn |
| Jun 30, 2024 | 10.80 Mn |
| Mar 31, 2024 | 9.10 Mn |
| Dec 31, 2023 | 10.72 Mn |
| Sep 30, 2023 | 10.40 Mn |
| Jun 30, 2023 | 13.14 Mn |
| Mar 31, 2023 | 24.50 Mn |
| Dec 31, 2022 | 73.10 Mn |
| Sep 30, 2022 | 41.73 Mn |
| Jun 30, 2022 | 26.01 Mn |
| Mar 31, 2022 | 11.10 Mn |
| Dec 31, 2021 | 14.15 Mn |
| Sep 30, 2021 | 15.66 Mn |
API Access
Macrogenics Revenue 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=revenue&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "MGNX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();