MeiraGTx Holdings (MGTX) Change in Accured Expenses (2017 - 2025)
MeiraGTx Holdings' Change in Accured Expenses was $8.74 million in Q4 2025, down 7.0% from $9.39 million a year earlier but up 5.7% from the prior quarter.
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Analysis
MeiraGTx Holdings (MGTX) Change in Accured Expenses (2017 - 2025) Analysis & Trends
For FY2025, Change in Accured Expenses at MeiraGTx Holdings came in at $4.41 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was -$13.96 million in FY2024, -$382,000 in FY2023, $12.61 million in FY2022 (+55.3%) and $8.12 million in FY2021 (+273.9%).
- Quarterly Change in Accured Expenses has moved between -$24.23 million (Q1 2024) and $13.54 million (Q4 2023) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in 1 of the last four quarters, with growth averaging 83.5%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2025 (growth of 423.8%); the worst was Q2 2021 (a decline of 99.6%).
- Per Business Quant data, MGTX's Change in Accured Expenses in the three quarters before Q4 2025 was $8.27 million (Q3 2025), -$9.01 million (Q2 2025) and -$3.59 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | MeiraGTx Holdings | 1.02 Bn | 760.39 Mn | 314.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 8.74 Mn |
| Sep 30, 2025 | 8.27 Mn |
| Jun 30, 2025 | -9.01 Mn |
| Mar 31, 2025 | -3.59 Mn |
| Dec 31, 2024 | 9.39 Mn |
| Sep 30, 2024 | 1.58 Mn |
| Jun 30, 2024 | -697,000.00 |
| Mar 31, 2024 | -24.23 Mn |
| Dec 31, 2023 | 13.54 Mn |
| Sep 30, 2023 | 3.32 Mn |
| Jun 30, 2023 | -5.77 Mn |
| Mar 31, 2023 | -11.47 Mn |
| Dec 31, 2022 | 11.67 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 2.77 Mn |
| Mar 31, 2022 | -3.83 Mn |
| Dec 31, 2021 | 10.13 Mn |
| Sep 30, 2021 | 3.04 Mn |
| Jun 30, 2021 | 23,000.00 |
| Mar 31, 2021 | -5.07 Mn |
API Access
MeiraGTx Holdings Change in Accured 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=change-in-accured-expenses&ticker=MGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();