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 | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | MeiraGTx Holdings | 906.09 Mn | 610.82 Mn | 314.27 Mn | 76.04% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.04% |
| Mar 31, 2026 | -13,930.72% |
| 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% |
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();