Macrogenics (MGNX) Return on Sales [ROS] (2012 - 2026)
Macrogenics (MGNX) posted Return on Sales [ROS] of -42.19% for Q2 2026, up 587.07 percentage points from -629.26% a year earlier and up 118.77 percentage points from the prior quarter.
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Analysis
Macrogenics (MGNX) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Macrogenics was -24.30%, up 31.98 percentage points year-over-year; for FY2025, it was -48.72%, up 25.01 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +76.24 percentage points (FY2020 to FY2025).
- In prior years, Macrogenics' Return on Sales [ROS] was -73.74% in FY2024 (+212.64 pp), -286.38% in FY2023 (-206.47 pp), -79.91% in FY2022 (+181.94 pp) and -261.85% in FY2021 (-136.89 pp).
- Quarterly Return on Sales [ROS] has run from a low of -629.26% in Q2 2025 to a high of 48.95% in Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +215.53 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2026, with a gain of 587.07 percentage points; the weakest was Q4 2023, with a drop of 476.78 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -160.96% (Q1 2026), -29.34% (Q4 2025) and 25.59% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Macrogenics | 227.85 Mn | -89.92 Mn | - | -42.19% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -42.19% |
| Mar 31, 2026 | -160.96% |
| Dec 31, 2025 | -29.34% |
| Sep 30, 2025 | 25.59% |
| Jun 30, 2025 | -629.26% |
| Mar 31, 2025 | -323.10% |
| Dec 31, 2024 | -273.02% |
| Sep 30, 2024 | 48.95% |
| Jun 30, 2024 | -538.86% |
| Mar 31, 2024 | -590.40% |
| Dec 31, 2023 | -460.39% |
| Sep 30, 2023 | -341.46% |
| Jun 30, 2023 | -342.28% |
| Mar 31, 2023 | -156.87% |
| Dec 31, 2022 | 16.39% |
| Sep 30, 2022 | -59.80% |
| Jun 30, 2022 | -160.76% |
| Mar 31, 2022 | -600.29% |
| Dec 31, 2021 | -411.65% |
| Sep 30, 2021 | -338.32% |
API Access
Macrogenics Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();