Macrogenics (MGNX) Research & Development (2012 - 2026)
Macrogenics' Research & Development came in at $38.78 million for Q2 2026, down 4.9% from $40.79 million a year earlier but up 10.9% from the prior quarter.
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Analysis
Macrogenics (MGNX) Research & Development (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Macrogenics reported Research & Development of $140.44 million, down 12.2% year-over-year; for FY2025, it was $147.17 million, down 16.9% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- Going back by year, Research & Development was $177.19 million in FY2024 (+6.4%), $166.58 million in FY2023 (-19.5%), $207.03 million in FY2022 (-3.5%) and $214.58 million in FY2021 (+11.1%).
- The five-year range for quarterly Research & Development is $30.13 million (Q3 2023) to $61.44 million (Q1 2022).
- Year-over-year, Research & Development has declined for seven consecutive quarters, with an average decline of 8.4% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q3 2024 (growth of 34.6%), and the weakest in Q3 2023 (a decline of 37.5%).
- Business Quant data shows MGNX's Research & Development at $34.97 million (Q1 2026), $33.97 million (Q4 2025) and $32.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.96 Bn | 1,103.55 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 616.51 Bn | 535.04 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 501.10 Bn | 474.21 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 367.09 Bn | 321.47 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.10 Bn | 262.09 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.72 Bn | 235.40 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 235.73 Bn | 191.13 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.64 Bn | 164.84 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 169.63 Bn | 116.28 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Macrogenics | 228.30 Mn | -89.47 Mn | - | 38.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.78 Mn |
| Mar 31, 2026 | 34.97 Mn |
| Dec 31, 2025 | 33.97 Mn |
| Sep 30, 2025 | 32.71 Mn |
| Jun 30, 2025 | 40.79 Mn |
| Mar 31, 2025 | 39.70 Mn |
| Dec 31, 2024 | 38.89 Mn |
| Sep 30, 2024 | 40.54 Mn |
| Jun 30, 2024 | 51.73 Mn |
| Mar 31, 2024 | 46.03 Mn |
| Dec 31, 2023 | 47.35 Mn |
| Sep 30, 2023 | 30.13 Mn |
| Jun 30, 2023 | 43.23 Mn |
| Mar 31, 2023 | 45.87 Mn |
| Dec 31, 2022 | 45.65 Mn |
| Sep 30, 2022 | 48.19 Mn |
| Jun 30, 2022 | 51.74 Mn |
| Mar 31, 2022 | 61.44 Mn |
| Dec 31, 2021 | 55.85 Mn |
| Sep 30, 2021 | 49.82 Mn |
API Access
Macrogenics Research & Development 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=research-and-development&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();