Macrogenics (MGNX) Return on Assets [ROA] (2013 - 2026)
Macrogenics (MGNX) recorded Return on Assets [ROA] of -5.72% in Q2 2026, up 10.48 percentage points from -16.20% a year earlier and up 24.56 percentage points from the prior quarter.
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Analysis
Macrogenics (MGNX) Return on Assets [ROA] (2013 - 2026) Analysis & Trends
For FY2025, Macrogenics reported Return on Assets [ROA] of -28.77%, down 4.86 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of +9.15 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -23.91% in FY2024 (-20.78 pp), -3.13% in FY2023 (+35.77 pp), -38.90% in FY2022 (+17.91 pp) and -56.81% in FY2021 (-18.89 pp).
- The Q2 2026 figure is the highest quarterly Return on Assets [ROA] since Q4 2015.
- On a year-over-year basis, Return on Assets [ROA] rose in five of the last eight quarters, with an average year-over-year change of +18.32 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 70.75 percentage points in Q2 2025, against a drop of 59.60 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -30.28% (Q1 2026), -28.91% (Q4 2025) and -30.05% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 19.00% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 8.08% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 7.32% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 1.87% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 9.36% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 9.80% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | -7.67% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 2.00% |
| 10 | Macrogenics | 150.40 Mn | -167.37 Mn | - | -5.72% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.72% |
| Mar 31, 2026 | -30.28% |
| Dec 31, 2025 | -28.91% |
| Sep 30, 2025 | -30.05% |
| Jun 30, 2025 | -16.20% |
| Mar 31, 2025 | -23.65% |
| Dec 31, 2024 | -26.48% |
| Sep 30, 2024 | -44.50% |
| Jun 30, 2024 | -86.96% |
| Mar 31, 2024 | -67.85% |
| Dec 31, 2023 | -53.16% |
| Sep 30, 2023 | -33.56% |
| Jun 30, 2023 | -30.13% |
| Mar 31, 2023 | -30.09% |
| Dec 31, 2022 | -51.04% |
| Sep 30, 2022 | -92.71% |
| Jun 30, 2022 | -89.75% |
| Mar 31, 2022 | -71.91% |
| Dec 31, 2021 | -55.76% |
| Sep 30, 2021 | -35.87% |
API Access
Macrogenics Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();