MeiraGTx Holdings (MGTX) Capital Expenditures (2017 - 2025)
MeiraGTx Holdings' Capital Expenditures came in at $272,000 for Q4 2025, down 77.7% from $1.22 million a year earlier and down 55.4% from the prior quarter.
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Analysis
MeiraGTx Holdings (MGTX) Capital Expenditures (2017 - 2025) Analysis & Trends
For FY2025, MeiraGTx Holdings' Capital Expenditures was $3.83 million, down 22.8% from FY2024.
- Capital Expenditures has declined in each of the last four years, with a five-year compound annual growth rate of -28.8% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $4.96 million in FY2024 (-75.4%), $20.17 million in FY2023 (-55.1%), $44.96 million in FY2022 (-3.0%) and $46.35 million in FY2021 (+121.5%).
- The Q4 2025 figure represents the lowest quarterly Capital Expenditures since Q2 2018.
- Year-over-year, Capital Expenditures has declined for three consecutive quarters, with an average decline of 49.1% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2021 (growth of 204.0%), and the weakest in Q1 2024 (a decline of 80.5%).
- Business Quant data shows MGTX's Capital Expenditures at $610,000 (Q3 2025), $1.23 million (Q2 2025) and $1.71 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | MeiraGTx Holdings | 1.04 Bn | 780.17 Mn | 314.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 272,000.00 |
| Sep 30, 2025 | 610,000.00 |
| Jun 30, 2025 | 1.23 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 730,000.00 |
| Jun 30, 2024 | 1.33 Mn |
| Mar 31, 2024 | 1.68 Mn |
| Dec 31, 2023 | 3.03 Mn |
| Sep 30, 2023 | 3.56 Mn |
| Jun 30, 2023 | 4.98 Mn |
| Mar 31, 2023 | 8.61 Mn |
| Dec 31, 2022 | 8.49 Mn |
| Sep 30, 2022 | 10.01 Mn |
| Jun 30, 2022 | 14.00 Mn |
| Mar 31, 2022 | 12.46 Mn |
| Dec 31, 2021 | 24.37 Mn |
| Sep 30, 2021 | 11.91 Mn |
| Jun 30, 2021 | 5.58 Mn |
| Mar 31, 2021 | 4.50 Mn |
API Access
MeiraGTx Holdings Capital Expenditures 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=capital-expenditures&ticker=MGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();