Macrogenics (MGNX) Enterprise Value (2013 - 2026)
Macrogenics (MGNX) recorded Enterprise Value of $180.14 million in Q2 2026, compared with -$54.21 million a year earlier and up 53.7% from the prior quarter.
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Analysis
Macrogenics (MGNX) Enterprise Value (2013 - 2026) Analysis & Trends
On a TTM basis, Macrogenics' Enterprise Value came in at -$23.73 million as of Jun 30, 2026; for FY2025, it came in at $44.73 million, up 109.7% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of -47.3% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $21.32 million in FY2024 (-95.7%), $496.16 million in FY2023 (+62.6%), $305.13 million in FY2022 (-64.5%) and $860.52 million in FY2021 (-22.1%).
- The Q2 2026 figure is the highest quarterly Enterprise Value since Q2 2024.
- On a year-over-year basis, Enterprise Value rose in 1 of the last four quarters, with an average decline of 18.8%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 283.6% in Q1 2024, against a decline of 95.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $117.17 million (Q1 2026), $44.73 million (Q4 2025) and $26.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Macrogenics | 258.40 Mn | -59.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180.14 Mn |
| Mar 31, 2026 | 117.17 Mn |
| Dec 31, 2025 | 44.73 Mn |
| Sep 30, 2025 | 26.15 Mn |
| Jun 30, 2025 | -54.21 Mn |
| Mar 31, 2025 | -65.45 Mn |
| Dec 31, 2024 | 21.32 Mn |
| Sep 30, 2024 | 26.87 Mn |
| Jun 30, 2024 | 182.63 Mn |
| Mar 31, 2024 | 840.54 Mn |
| Dec 31, 2023 | 496.16 Mn |
| Sep 30, 2023 | 199.16 Mn |
| Jun 30, 2023 | 222.61 Mn |
| Mar 31, 2023 | 219.12 Mn |
| Dec 31, 2022 | 305.13 Mn |
| Sep 30, 2022 | 128.67 Mn |
| Jun 30, 2022 | 159.83 Mn |
| Mar 31, 2022 | 493.02 Mn |
| Dec 31, 2021 | 860.52 Mn |
| Sep 30, 2021 | 1.09 Bn |
API Access
Macrogenics Enterprise Value 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=enterprise-value&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();