Macrogenics (MGNX) Long-Term Investments (2016 - 2026)
Macrogenics (MGNX) reported Long-Term Investments of $59.4 million for Q2 2026, up 29.7% from $45.8 million a year earlier but down 32.3% from the prior quarter.
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Analysis
Macrogenics (MGNX) Long-Term Investments (2016 - 2026) Analysis & Trends
At the end of FY2025, Macrogenics posted Long-Term Investments of $132.7 million, up 604.8% from FY2024.
- Long-Term Investments has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, Long-Term Investments came in at $18.83 million in FY2024 (-85.4%), $128.85 million in FY2023 (+183.2%), $45.5 million in FY2022 (-62.1%) and $120.15 million in FY2021 (+31.5%).
- Five-year quarterly Long-Term Investments spans a low of $8.57 million in Q1 2025 and a high of $166.53 million in Q3 2023.
- Year over year, Long-Term Investments has now increased in each of the last four quarters, with growth averaging 186.7% over the last eight quarters.
- The high point for year-over-year Long-Term Investments in five years was Q1 2026 (growth of 923.4%); the low point was Q1 2025 (a decline of 91.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $87.71 million (Q1 2026), $132.7 million (Q4 2025) and $66.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 4.01 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | - |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 387.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 1.60 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | 63.00 Mn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 268.00 Mn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | - |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 1.45 Bn |
| 10 | Macrogenics | 150.40 Mn | -167.37 Mn | - | 59.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.40 Mn |
| Mar 31, 2026 | 87.71 Mn |
| Dec 31, 2025 | 132.70 Mn |
| Sep 30, 2025 | 66.27 Mn |
| Jun 30, 2025 | 45.80 Mn |
| Mar 31, 2025 | 8.57 Mn |
| Dec 31, 2024 | 18.83 Mn |
| Sep 30, 2024 | 20.74 Mn |
| Jun 30, 2024 | 56.44 Mn |
| Mar 31, 2024 | 103.88 Mn |
| Dec 31, 2023 | 128.85 Mn |
| Sep 30, 2023 | 166.53 Mn |
| Jun 30, 2023 | 131.59 Mn |
| Mar 31, 2023 | 17.39 Mn |
| Dec 31, 2022 | 45.50 Mn |
| Sep 30, 2022 | 39.62 Mn |
| Jun 30, 2022 | 112.27 Mn |
| Mar 31, 2022 | 136.66 Mn |
| Dec 31, 2021 | 120.15 Mn |
| Sep 30, 2021 | 108.37 Mn |
API Access
Macrogenics Long-Term Investments 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=long-term-investments&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();