MeiraGTx Holdings (MGTX) Total Liabilities (2017 - 2026)
MeiraGTx Holdings (MGTX) posted Total Liabilities of $180.67 million for Q2 2026, down 7.7% from $195.76 million a year earlier.
Analysis
MeiraGTx Holdings (MGTX) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, MeiraGTx Holdings' Total Liabilities came in at $250.22 million, up 23.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In prior years, MeiraGTx Holdings' Total Liabilities was $201.92 million in FY2024 (+7.1%), $188.57 million in FY2023 (-6.0%), $200.5 million in FY2022 (+48.8%) and $134.76 million in FY2021 (+7.7%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q3 2023.
- On a year-over-year basis, Total Liabilities increased in six of the last seven quarters, with growth averaging 8.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 69.0%; the weakest was Q2 2022, with a decline of 8.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | MeiraGTx Holdings | 1.05 Bn | 790.53 Mn | 314.27 Mn | 180.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180.67 Mn |
| Dec 31, 2025 | 250.22 Mn |
| Sep 30, 2025 | 230.03 Mn |
| Jun 30, 2025 | 195.76 Mn |
| Mar 31, 2025 | 190.92 Mn |
| Dec 31, 2024 | 201.92 Mn |
| Sep 30, 2024 | 203.75 Mn |
| Jun 30, 2024 | 186.61 Mn |
| Mar 31, 2024 | 187.50 Mn |
| Dec 31, 2023 | 188.57 Mn |
| Sep 30, 2023 | 175.31 Mn |
| Jun 30, 2023 | 186.74 Mn |
| Mar 31, 2023 | 197.92 Mn |
| Dec 31, 2022 | 200.50 Mn |
| Sep 30, 2022 | 178.74 Mn |
| Jun 30, 2022 | 110.49 Mn |
| Mar 31, 2022 | 126.41 Mn |
| Dec 31, 2021 | 134.76 Mn |
| Sep 30, 2021 | 115.50 Mn |
| Jun 30, 2021 | 121.05 Mn |
API Access
MeiraGTx Holdings Total Liabilities 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=total-liabilities&ticker=MGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();