Macrogenics (MGNX) EBITDA Margin (2012 - 2026)
Macrogenics (MGNX) recorded EBITDA Margin of -40.03% in Q2 2026, up 561.47 percentage points from -601.50% a year earlier and up 112.80 percentage points from the prior quarter.
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Analysis
Macrogenics (MGNX) EBITDA Margin (2012 - 2026) Analysis & Trends
On a TTM basis, Macrogenics' EBITDA Margin came in at -20.79% as of Jun 30, 2026, up 30.45 percentage points year-over-year; for FY2025, it was -43.93%, up 24.78 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +69.63 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -68.71% in FY2024 (+201.25 pp), -269.96% in FY2023 (-197.86 pp), -72.10% in FY2022 (+175.21 pp) and -247.31% in FY2021 (-133.76 pp).
- Quarterly EBITDA Margin has ranged from -601.50% in Q2 2025 to 50.61% in Q3 2024 over the past five years.
- On a year-over-year basis, EBITDA Margin has increased for three consecutive quarters, with an average year-over-year change of +208.45 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 561.47 percentage points in Q2 2026, against a drop of 463.48 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -152.84% (Q1 2026), -25.21% (Q4 2025) and 28.04% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 35.95% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 49.01% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.02% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 33.11% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 46.01% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -124.26% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 39.16% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 39.10% |
| 10 | Macrogenics | 258.40 Mn | -59.37 Mn | - | -40.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -40.03% |
| Mar 31, 2026 | -152.84% |
| Dec 31, 2025 | -25.21% |
| Sep 30, 2025 | 28.04% |
| Jun 30, 2025 | -601.50% |
| Mar 31, 2025 | -309.68% |
| Dec 31, 2024 | -262.41% |
| Sep 30, 2024 | 50.61% |
| Jun 30, 2024 | -522.09% |
| Mar 31, 2024 | -570.18% |
| Dec 31, 2023 | -442.67% |
| Sep 30, 2023 | -322.71% |
| Jun 30, 2023 | -320.87% |
| Mar 31, 2023 | -144.69% |
| Dec 31, 2022 | 20.81% |
| Sep 30, 2022 | -52.98% |
| Jun 30, 2022 | -149.69% |
| Mar 31, 2022 | -574.05% |
| Dec 31, 2021 | -390.78% |
| Sep 30, 2021 | -320.46% |
API Access
Macrogenics EBITDA 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=ebitda-margin&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();