Macrogenics (MGNX) Return on Equity [ROE] (2013 - 2026)
Macrogenics' Return on Equity [ROE] was -50.31% in Q2 2026, up 10.25 percentage points from -60.57% a year earlier and up 136.91 percentage points from the prior quarter.
Macrogenics (MGNX) Return on Equity [ROE] (2013 - 2026) Analysis & Trends
For FY2025, Return on Equity [ROE] at Macrogenics came in at -86.91%, down 37.06 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of -37.13 percentage points (FY2020 to FY2025).
- In earlier years, Return on Equity [ROE] was -49.85% in FY2024 (-43.70 pp), -6.15% in FY2023 (+56.61 pp), -62.76% in FY2022 (+12.98 pp) and -75.74% in FY2021 (-25.96 pp).
- The Q2 2026 figure marks the highest quarterly Return on Equity [ROE] since Q3 2021.
- Compared with a year earlier, Return on Equity [ROE] was higher in four of the last eight quarters, with an average year-over-year change of +5.05 percentage points.
- The best year-over-year quarter for Return on Equity [ROE] over five years was Q2 2025 (a gain of 177.77 percentage points); the worst was Q2 2024 (a drop of 168.69 percentage points).
- Per Business Quant data, MGNX's Return on Equity [ROE] in the three quarters before Q2 2026 was -187.22% (Q1 2026), -124.43% (Q4 2025) and -136.54% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 74.39% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 19.33% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | - |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 5.63% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 21.60% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 72.13% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | -31.17% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 4.66% |
| 10 | Macrogenics | 150.40 Mn | -167.37 Mn | - | -50.31% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -50.31% |
| Mar 31, 2026 | -187.22% |
| Dec 31, 2025 | -124.43% |
| Sep 30, 2025 | -136.54% |
| Jun 30, 2025 | -60.57% |
| Mar 31, 2025 | -58.91% |
| Dec 31, 2024 | -59.00% |
| Sep 30, 2024 | -116.47% |
| Jun 30, 2024 | -238.34% |
| Mar 31, 2024 | -143.35% |
| Dec 31, 2023 | -97.91% |
| Sep 30, 2023 | -59.28% |
| Jun 30, 2023 | -69.65% |
| Mar 31, 2023 | -74.71% |
| Dec 31, 2022 | -91.65% |
| Sep 30, 2022 | -144.39% |
| Jun 30, 2022 | -137.00% |
| Mar 31, 2022 | -104.42% |
| Dec 31, 2021 | -76.37% |
| Sep 30, 2021 | -48.07% |
Macrogenics Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=MGNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();