Macrogenics (MGNX) Return on Capital Employed [ROCE] (2013 - 2026)
Macrogenics' Return on Capital Employed [ROCE] was -23.58% in Q2 2026, up 19.53 percentage points from -43.11% a year earlier and up 26.01 percentage points from the prior quarter.
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Analysis
Macrogenics (MGNX) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Macrogenics came in at -33.70%, up 15.55 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +10.73 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -49.25% in FY2024 (+22.85 pp), -72.10% in FY2023 (-25.27 pp), -46.84% in FY2022 (+24.97 pp) and -71.81% in FY2021 (-27.37 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2018.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for seven straight quarters, with an average year-over-year change of +17.55 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2023 (a gain of 82.96 percentage points); the worst was Q2 2024 (a drop of 83.49 percentage points).
- Per Business Quant data, MGNX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -49.59% (Q1 2026), -35.94% (Q4 2025) and -56.20% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Macrogenics | 227.85 Mn | -89.92 Mn | - | -23.58% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.58% |
| Mar 31, 2026 | -49.59% |
| Dec 31, 2025 | -35.94% |
| Sep 30, 2025 | -56.20% |
| Jun 30, 2025 | -43.11% |
| Mar 31, 2025 | -52.99% |
| Dec 31, 2024 | -53.28% |
| Sep 30, 2024 | -61.72% |
| Jun 30, 2024 | -117.97% |
| Mar 31, 2024 | -84.37% |
| Dec 31, 2023 | -63.95% |
| Sep 30, 2023 | -39.37% |
| Jun 30, 2023 | -34.49% |
| Mar 31, 2023 | -34.99% |
| Dec 31, 2022 | -64.14% |
| Sep 30, 2022 | -122.34% |
| Jun 30, 2022 | -113.31% |
| Mar 31, 2022 | -92.34% |
| Dec 31, 2021 | -70.14% |
| Sep 30, 2021 | -43.13% |
API Access
Macrogenics Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();