Macrogenics (MGNX) Gross Margin (2020 - 2026)
Macrogenics (MGNX) reported Gross Margin of 54.13% for Q1 2026, down 4.94 percentage points from 59.07% a year earlier and down 21.34 percentage points from the prior quarter.
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Analysis
Macrogenics (MGNX) Gross Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Macrogenics' Gross Margin came in at 71.67%, down 18.58 percentage points year-over-year; for FY2025, it came in at 75.91%, down 16.45 percentage points from FY2024.
- Gross Margin has a five-year change of -24.09 percentage points (FY2020 to FY2025).
- By year, Gross Margin came in at 92.36% in FY2024 (+5.30 pp), 87.06% in FY2023 (-10.29 pp), 97.35% in FY2022 (+0.77 pp) and 96.58% in FY2021 (-3.42 pp).
- Five-year quarterly Gross Margin spans a low of -29.65% in Q2 2025 and a high of 100.00% in Q4 2023.
- Year over year, Gross Margin gained in two of the last eight quarters, with an average year-over-year change of -19.65 percentage points.
- The high point for year-over-year Gross Margin in five years was Q3 2024 (a gain of 29.95 percentage points); the low point was Q2 2025 (a drop of 105.14 percentage points).
- Per Business Quant data, the three quarters before Q1 2026 came in at 75.47% (Q4 2025), 84.09% (Q3 2025) and -29.65% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,129.91 Bn | 1,098.50 Bn | 19.71 Bn | 85.78% |
| 2 | Johnson & Johnson | 613.69 Bn | 532.22 Bn | 17.26 Bn | 68.19% |
| 3 | AbbVie | 503.05 Bn | 476.16 Bn | 12.70 Bn | 74.74% |
| 4 | Merck | 367.72 Bn | 322.10 Bn | 12.21 Bn | 73.54% |
| 5 | Novartis Ag | 297.87 Bn | 261.86 Bn | 11.24 Bn | 78.02% |
| 6 | Astrazeneca | 261.30 Bn | 234.99 Bn | 12.86 Bn | 83.60% |
| 7 | Amgen | 235.86 Bn | 191.25 Bn | 7.24 Bn | 72.04% |
| 8 | Gilead Sciences | 190.51 Bn | 164.71 Bn | 6.22 Bn | 79.76% |
| 9 | Pfizer | 169.83 Bn | 116.48 Bn | 10.94 Bn | 72.78% |
| 10 | Macrogenics | 224.49 Mn | -93.28 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 54.13% |
| Dec 31, 2025 | 75.47% |
| Sep 30, 2025 | 84.09% |
| Jun 30, 2025 | -29.65% |
| Mar 31, 2025 | 59.07% |
| Dec 31, 2024 | 72.84% |
| Sep 30, 2024 | 98.46% |
| Jun 30, 2024 | 75.48% |
| Mar 31, 2024 | 79.72% |
| Dec 31, 2023 | 100.00% |
| Sep 30, 2023 | 68.51% |
| Jun 30, 2023 | 93.00% |
| Mar 31, 2023 | 86.08% |
| Dec 31, 2022 | 98.91% |
| Sep 30, 2022 | 92.79% |
| Jun 30, 2022 | 91.46% |
| Mar 31, 2022 | 99.57% |
| Dec 31, 2021 | 93.31% |
| Sep 30, 2021 | 89.37% |
| Jun 30, 2021 | 99.93% |
API Access
Macrogenics Gross Margin 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=gross-margin&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();