Macrogenics (MGNX) EPS (Diluted) (2012 - 2026)
Macrogenics' EPS (Diluted) came in at $0.31 for Q2 2026, compared with -$0.57 a year earlier.
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Analysis
Macrogenics (MGNX) EPS (Diluted) (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Macrogenics reported EPS (Diluted) of -$0.23; for FY2025, it came in at -$1.18.
- Going back by year, EPS (Diluted) was -$1.07 in FY2024, -$0.15 in FY2023, -$1.95 in FY2022 and -$3.37 in FY2021.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q3 2024.
- Business Quant data shows MGNX's EPS (Diluted) at -$0.58 (Q1 2026), -$0.22 (Q4 2025) and $0.27 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.27 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.67 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.85 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 4.37 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 4.31 |
| 10 | Macrogenics | 245.67 Mn | -72.10 Mn | - | 0.31 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.31 |
| Mar 31, 2026 | -0.58 |
| Dec 31, 2025 | -0.22 |
| Sep 30, 2025 | 0.27 |
| Jun 30, 2025 | -0.57 |
| Mar 31, 2025 | -0.65 |
| Dec 31, 2024 | -0.25 |
| Sep 30, 2024 | 0.90 |
| Jun 30, 2024 | -0.89 |
| Mar 31, 2024 | -0.84 |
| Dec 31, 2023 | -0.74 |
| Sep 30, 2023 | 0.28 |
| Jun 30, 2023 | 0.92 |
| Mar 31, 2023 | -0.61 |
| Dec 31, 2022 | 0.21 |
| Sep 30, 2022 | -0.40 |
| Jun 30, 2022 | -0.67 |
| Mar 31, 2022 | -1.08 |
| Dec 31, 2021 | -0.97 |
| Sep 30, 2021 | -0.86 |
API Access
Macrogenics EPS (Diluted) 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=eps-diluted&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();