Macrogenics (MGNX) Revenue (2012 - 2026)
Macrogenics (MGNX) reported Revenue of $32.83 million for Q2 2026, up 378.0% from $6.87 million a year earlier and up 58.0% from the prior quarter.
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Analysis
Macrogenics (MGNX) Revenue (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Macrogenics' Revenue came in at $167.67 million, up 11.7% year-over-year; for FY2025, it was $149.5 million, down 0.3% from FY2024.
- Revenue has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- By year, Revenue came in at $149.96 million in FY2024 (+155.3%), $58.75 million in FY2023 (-61.3%), $151.94 million in FY2022 (+96.2%) and $77.45 million in FY2021 (-26.2%).
- Five-year quarterly Revenue spans a low of $6.87 million in Q2 2025 and a high of $110.71 million in Q3 2024.
- Year over year, Revenue has now increased in each of the last three quarters, with growth averaging 196.0% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q3 2024 (growth of 964.8%); the low point was Q4 2023 (a decline of 85.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $20.78 million (Q1 2026), $41.23 million (Q4 2025) and $72.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Macrogenics | 258.40 Mn | -59.37 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();