MeiraGTx Holdings (MGTX) Return on Capital Employed [ROCE] (2018 - 2026)
MeiraGTx Holdings (MGTX) posted Return on Capital Employed [ROCE] of 68.63% for Q2 2026, up 168.63 percentage points from -99.99% a year earlier.
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Analysis
MeiraGTx Holdings (MGTX) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, MeiraGTx Holdings' Return on Capital Employed [ROCE] came in at -78.77%, down 9.61 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for five consecutive years, with a five-year change of -57.17 percentage points (FY2020 to FY2025).
- In prior years, MeiraGTx Holdings' Return on Capital Employed [ROCE] was -69.15% in FY2024 (-15.49 pp), -53.66% in FY2023 (-4.59 pp), -49.07% in FY2022 (-22.50 pp) and -26.57% in FY2021 (-4.98 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2018.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in 1 of the last seven quarters, with an average year-over-year change of -39.69 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2026, with a gain of 168.63 percentage points; the weakest was Q3 2025, with a drop of 319.26 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | MeiraGTx Holdings | 906.09 Mn | 610.82 Mn | 314.27 Mn | 70.12% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.12% |
| Mar 31, 2026 | -153.75% |
| Dec 31, 2025 | -112.26% |
| Sep 30, 2025 | -398.16% |
| Jun 30, 2025 | -99.99% |
| Mar 31, 2025 | -81.76% |
| Dec 31, 2024 | -73.36% |
| Sep 30, 2024 | -78.91% |
| Jun 30, 2024 | -70.22% |
| Mar 31, 2024 | -56.23% |
| Dec 31, 2023 | -59.62% |
| Sep 30, 2023 | -59.66% |
| Jun 30, 2023 | -54.71% |
| Mar 31, 2023 | -53.75% |
| Dec 31, 2022 | -51.09% |
| Sep 30, 2022 | -40.57% |
| Jun 30, 2022 | -40.84% |
| Mar 31, 2022 | -33.33% |
| Dec 31, 2021 | -29.86% |
| Sep 30, 2021 | -30.65% |
API Access
MeiraGTx Holdings 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=MGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();