Macrogenics (MGNX) Non-Current Assets (2012 - 2026)
Macrogenics (MGNX) posted Non-Current Assets of $23.72 million for Q2 2026, down 41.4% from $40.47 million a year earlier and down 32.9% from the prior quarter.
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Analysis
Macrogenics (MGNX) Non-Current Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, Macrogenics' Non-Current Assets came in at $36.91 million, down 16.4% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- In prior years, Macrogenics' Non-Current Assets was $44.17 million in FY2024 (-6.2%), $47.08 million in FY2023 (-19.2%), $58.29 million in FY2022 (+4.7%) and $55.69 million in FY2021 (-15.8%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q1 2017.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 11 quarters, with an average decline of 14.7% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2022, with growth of 4.7%; the weakest was Q2 2026, with a decline of 41.4%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $35.35 million (Q1 2026), $36.91 million (Q4 2025) and $38.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Macrogenics | 258.40 Mn | -59.37 Mn | - | 23.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.72 Mn |
| Mar 31, 2026 | 35.35 Mn |
| Dec 31, 2025 | 36.91 Mn |
| Sep 30, 2025 | 38.67 Mn |
| Jun 30, 2025 | 40.47 Mn |
| Mar 31, 2025 | 42.48 Mn |
| Dec 31, 2024 | 44.17 Mn |
| Sep 30, 2024 | 42.30 Mn |
| Jun 30, 2024 | 44.19 Mn |
| Mar 31, 2024 | 45.71 Mn |
| Dec 31, 2023 | 47.08 Mn |
| Sep 30, 2023 | 48.65 Mn |
| Jun 30, 2023 | 50.98 Mn |
| Mar 31, 2023 | 54.56 Mn |
| Dec 31, 2022 | 58.29 Mn |
| Sep 30, 2022 | 47.54 Mn |
| Jun 30, 2022 | 50.41 Mn |
| Mar 31, 2022 | 53.24 Mn |
| Dec 31, 2021 | 55.69 Mn |
| Sep 30, 2021 | 57.46 Mn |
API Access
Macrogenics Non-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=non-current-assets&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();