Macrogenics (MGNX) Current Assets (2012 - 2026)
Macrogenics (MGNX) reported Current Assets of $321.69 million for Q2 2026, up 57.0% from $204.95 million a year earlier and up 76.2% from the prior quarter.
Macrogenics (MGNX) Current Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, Macrogenics posted Current Assets of $219.94 million, up 1.1% from FY2024.
- Current Assets has a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- By year, Current Assets came in at $217.49 million in FY2024 (-13.5%), $251.34 million in FY2023 (+13.1%), $222.18 million in FY2022 (-20.5%) and $279.56 million in FY2021 (-10.6%).
- The Q2 2026 figure ranks as the highest quarterly Current Assets since Q3 2021.
- Year over year, Current Assets has now increased in each of the last five quarters, with growth averaging 5.8% over the last eight quarters.
- The high point for year-over-year Current Assets in five years was Q3 2023 (growth of 97.1%); the low point was Q3 2022 (a decline of 55.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $182.52 million (Q1 2026), $219.94 million (Q4 2025) and $232.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 12.54 Bn |
| 10 | Macrogenics | 258.40 Mn | -59.37 Mn | - | 321.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 321.69 Mn |
| Mar 31, 2026 | 182.52 Mn |
| Dec 31, 2025 | 219.94 Mn |
| Sep 30, 2025 | 232.09 Mn |
| Jun 30, 2025 | 204.95 Mn |
| Mar 31, 2025 | 182.09 Mn |
| Dec 31, 2024 | 217.49 Mn |
| Sep 30, 2024 | 222.20 Mn |
| Jun 30, 2024 | 156.95 Mn |
| Mar 31, 2024 | 202.58 Mn |
| Dec 31, 2023 | 251.34 Mn |
| Sep 30, 2023 | 291.32 Mn |
| Jun 30, 2023 | 254.68 Mn |
| Mar 31, 2023 | 288.94 Mn |
| Dec 31, 2022 | 222.18 Mn |
| Sep 30, 2022 | 147.81 Mn |
| Jun 30, 2022 | 167.63 Mn |
| Mar 31, 2022 | 218.20 Mn |
| Dec 31, 2021 | 279.56 Mn |
| Sep 30, 2021 | 334.70 Mn |
Macrogenics Current 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=current-assets&ticker=MGNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();