Macrogenics (MGNX) Net Margin (2012 - 2026)
Macrogenics (MGNX) recorded Net Margin of 59.44% in Q2 2026, up 587.19 percentage points from -527.75% a year earlier and up 236.45 percentage points from the prior quarter.
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Analysis
Macrogenics (MGNX) Net Margin (2012 - 2026) Analysis & Trends
On a TTM basis, Macrogenics' Net Margin came in at -8.70% as of Jun 30, 2026, up 15.54 percentage points year-over-year; for FY2025, it was -49.91%, down 5.26 percentage points from FY2024.
- Annual Net Margin has a five-year change of +73.79 percentage points (FY2020 to FY2025).
- Across earlier years, Net Margin came in at -44.66% in FY2024 (-29.24 pp), -15.42% in FY2023 (+63.40 pp), -78.82% in FY2022 (+182.15 pp) and -260.97% in FY2021 (-137.27 pp).
- The Q2 2026 figure is the highest quarterly Net Margin since Q3 2023.
- On a year-over-year basis, Net Margin has increased for three consecutive quarters, with an average year-over-year change of +152.62 percentage points over the last eight quarters.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 596.31 percentage points in Q2 2023, against a drop of 953.04 percentage points in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -177.01% (Q1 2026), -34.33% (Q4 2025) and 23.09% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 26.44% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 24.24% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 28.01% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 20.69% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 37.28% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 29.27% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 19.55% |
| 10 | Macrogenics | 150.40 Mn | -167.37 Mn | - | 59.44% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.44% |
| Mar 31, 2026 | -177.01% |
| Dec 31, 2025 | -34.33% |
| Sep 30, 2025 | 23.09% |
| Jun 30, 2025 | -527.75% |
| Mar 31, 2025 | -311.07% |
| Dec 31, 2024 | -79.68% |
| Sep 30, 2024 | 50.86% |
| Jun 30, 2024 | -515.55% |
| Mar 31, 2024 | -573.26% |
| Dec 31, 2023 | -429.78% |
| Sep 30, 2023 | 168.84% |
| Jun 30, 2023 | 437.49% |
| Mar 31, 2023 | -155.16% |
| Dec 31, 2022 | 17.51% |
| Sep 30, 2022 | -59.46% |
| Jun 30, 2022 | -158.82% |
| Mar 31, 2022 | -598.53% |
| Dec 31, 2021 | -410.14% |
| Sep 30, 2021 | -337.67% |
API Access
Macrogenics Net 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=net-margin&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();