Macrogenics (MGNX) Operating Margin (2012 - 2026)
Macrogenics' Operating Margin was -42.19% in Q2 2026, up 587.07 percentage points from -629.26% a year earlier and up 118.77 percentage points from the prior quarter.
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Analysis
Macrogenics (MGNX) Operating Margin (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Macrogenics' Operating Margin was -24.30% through Jun 30, 2026, up 31.98 percentage points year-over-year; for FY2025, it was -48.72%, up 25.01 percentage points from FY2024.
- Operating Margin shows a five-year change of +76.24 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -73.74% in FY2024 (+212.64 pp), -286.38% in FY2023 (-206.47 pp), -79.91% in FY2022 (+181.94 pp) and -261.85% in FY2021 (-136.89 pp).
- Quarterly Operating Margin has moved between -629.26% (Q2 2025) and 48.95% (Q3 2024) over five years.
- Compared with a year earlier, Operating Margin has increased for three straight quarters, with an average year-over-year change of +215.53 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q2 2026 (a gain of 587.07 percentage points); the worst was Q4 2023 (a drop of 476.78 percentage points).
- Per Business Quant data, MGNX's Operating Margin in the three quarters before Q2 2026 was -160.96% (Q1 2026), -29.34% (Q4 2025) and 25.59% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 32.98% |
| 10 | Macrogenics | 150.40 Mn | -167.37 Mn | - | -42.19% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -42.19% |
| Mar 31, 2026 | -160.96% |
| Dec 31, 2025 | -29.34% |
| Sep 30, 2025 | 25.59% |
| Jun 30, 2025 | -629.26% |
| Mar 31, 2025 | -323.10% |
| Dec 31, 2024 | -273.02% |
| Sep 30, 2024 | 48.95% |
| Jun 30, 2024 | -538.86% |
| Mar 31, 2024 | -590.40% |
| Dec 31, 2023 | -460.39% |
| Sep 30, 2023 | -341.46% |
| Jun 30, 2023 | -342.28% |
| Mar 31, 2023 | -156.87% |
| Dec 31, 2022 | 16.39% |
| Sep 30, 2022 | -59.80% |
| Jun 30, 2022 | -160.76% |
| Mar 31, 2022 | -600.29% |
| Dec 31, 2021 | -411.65% |
| Sep 30, 2021 | -338.32% |
API Access
Macrogenics Operating 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=operating-margin&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();