MeiraGTx Holdings (MGTX) Other Operating Expenses (2017 - 2026)
MeiraGTx Holdings' Other Operating Expenses was $7.16 million in Q2 2026, up 167.7% from $2.68 million a year earlier.
Powered by 
Analysis
MeiraGTx Holdings (MGTX) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, MeiraGTx Holdings' Other Operating Expenses was $10.63 million through Jun 30, 2026, down 61.8% year-over-year; for FY2025, it was $4.84 million, down 79.6% from FY2024.
- In earlier years, Other Operating Expenses was $23.79 million in FY2024.
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | MeiraGTx Holdings | 906.09 Mn | 610.82 Mn | 314.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.76 Mn |
| Mar 31, 2026 | 198,000.00 |
| Dec 31, 2025 | 476,000.00 |
| Sep 30, 2025 | 313,000.00 |
| Jun 30, 2025 | 2.68 Mn |
| Mar 31, 2025 | 1.38 Mn |
| Dec 31, 2024 | 11.81 Mn |
| Sep 30, 2024 | 11.99 Mn |
| Sep 30, 2018 | -15.42 Mn |
| Jun 30, 2018 | -29.98 Mn |
| Sep 30, 2017 | -8.44 Mn |
| Jun 30, 2017 | -7.18 Mn |
API Access
MeiraGTx Holdings Other Operating Expenses 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=other-operating-expenses&ticker=MGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=MGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();