Macrogenics (MGNX) Assets (2012 - 2026)
Macrogenics (MGNX) posted Assets of $345.41 million for Q2 2026, up 40.7% from $245.42 million a year earlier and up 58.5% from the prior quarter.
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Analysis
Macrogenics (MGNX) Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, Macrogenics' Assets came in at $256.85 million, down 1.8% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- In prior years, Macrogenics' Assets was $261.66 million in FY2024 (-12.3%), $298.42 million in FY2023 (+6.4%), $280.47 million in FY2022 (-16.3%) and $335.25 million in FY2021 (-11.5%).
- The Q2 2026 figure stands as the highest quarterly Assets since Q3 2021.
- On a year-over-year basis, Assets increased in three of the last eight quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2023, with growth of 74.0%; the weakest was Q3 2022, with a decline of 50.2%.
- According to Business Quant data, Assets for the three prior quarters was $217.87 million (Q1 2026), $256.85 million (Q4 2025) and $270.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Macrogenics | 258.40 Mn | -59.37 Mn | - | 345.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 345.41 Mn |
| Mar 31, 2026 | 217.87 Mn |
| Dec 31, 2025 | 256.85 Mn |
| Sep 30, 2025 | 270.76 Mn |
| Jun 30, 2025 | 245.42 Mn |
| Mar 31, 2025 | 224.57 Mn |
| Dec 31, 2024 | 261.66 Mn |
| Sep 30, 2024 | 264.49 Mn |
| Jun 30, 2024 | 201.14 Mn |
| Mar 31, 2024 | 248.29 Mn |
| Dec 31, 2023 | 298.42 Mn |
| Sep 30, 2023 | 339.97 Mn |
| Jun 30, 2023 | 305.65 Mn |
| Mar 31, 2023 | 343.50 Mn |
| Dec 31, 2022 | 280.47 Mn |
| Sep 30, 2022 | 195.35 Mn |
| Jun 30, 2022 | 218.04 Mn |
| Mar 31, 2022 | 271.45 Mn |
| Dec 31, 2021 | 335.25 Mn |
| Sep 30, 2021 | 392.16 Mn |
API Access
Macrogenics Assets 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=assets&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();