MeiraGTx Holdings (MGTX) Return on Sales [ROS] (2019 - 2026)
MeiraGTx Holdings' Return on Sales [ROS] came in at 76.04% for Q2 2026, up 1289.62 percentage points from -1213.57% a year earlier.
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Analysis
MeiraGTx Holdings (MGTX) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MeiraGTx Holdings reported Return on Sales [ROS] of 44.91%, up 461.40 percentage points year-over-year; for FY2025, it came in at -130.20%, up 363.24 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +271.74 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -493.44% in FY2024 (+484.38 pp), -977.82% in FY2023 (-246.95 pp), -730.87% in FY2022 (-537.89 pp) and -192.99% in FY2021 (+208.95 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q1 2019.
- Year-over-year, Return on Sales [ROS] increased in six of the last seven quarters, with an average year-over-year change of +1785.23 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2025 (a gain of 15066.21 percentage points), and the weakest in Q2 2024 (a drop of 15466.65 percentage points).
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 | MeiraGTx Holdings | 1.02 Bn | 760.39 Mn | 314.27 Mn | 76.04% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.04% |
| Dec 31, 2025 | 35.13% |
| Sep 30, 2025 | -11,231.95% |
| Jun 30, 2025 | -1,213.57% |
| Mar 31, 2025 | -2,159.71% |
| Dec 31, 2024 | -147.22% |
| Sep 30, 2024 | -367.01% |
| Jun 30, 2024 | -16,279.79% |
| Mar 31, 2024 | -6,710.47% |
| Dec 31, 2023 | -2,144.80% |
| Sep 30, 2023 | -642.01% |
| Jun 30, 2023 | -813.14% |
| Mar 31, 2023 | -952.61% |
| Dec 31, 2022 | -730.87% |
| Sep 30, 2022 | -473.59% |
| Jun 30, 2022 | -220.82% |
| Mar 31, 2022 | -510.10% |
| Dec 31, 2021 | -36.54% |
| Sep 30, 2021 | -324.58% |
| Jun 30, 2021 | -400.37% |
API Access
MeiraGTx Holdings 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=MGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MGTX", "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=MGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();