Mira Pharmaceuticals (MIRA) Operating Expenses (2022 - 2025)
Mira Pharmaceuticals (MIRA) reported Operating Expenses of $5.82 million for the quarter ended Dec 31, 2025, up 138.9% from $2.44 million a year earlier and up 342.3% from the prior quarter.
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Analysis
Mira Pharmaceuticals (MIRA) Operating Expenses (2022 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Mira Pharmaceuticals posted Operating Expenses of $10.49 million, up 30.9% from the prior year.
- Operating Expenses has a three-year compound annual growth rate of 14.2% (years ended Dec 2022 to Dec 2025).
- By year, Operating Expenses came in at $8.02 million in the year ended Dec 31, 2024 (-6.0%), $8.53 million in the year ended Dec 31, 2023 (+21.0%) and $7.05 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Operating Expenses in data going back to the quarter ended Sep 30, 2022.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 18.7%.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Dec 31, 2025 (growth of 138.9%); the low point was the quarter ended Sep 30, 2025 (a decline of 36.7%).
- Per Business Quant data, the three quarters before the quarter ended Dec 31, 2025 came in at $1.32 million (quarter ended Sep 30, 2025), $1.55 million (quarter ended Jun 30, 2025) and $1.81 million (quarter ended Mar 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.23 Bn | 1,139.82 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 648.76 Bn | 568.62 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.78 Bn | 476.89 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.20 Bn | 320.58 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 303.55 Bn | 267.54 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 269.42 Bn | 243.11 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 242.43 Bn | 197.83 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 195.01 Bn | 169.21 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.42 Bn | 119.07 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Mira Pharmaceuticals | 15.29 Mn | -5.21 Mn | - | 5.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.82 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 1.55 Mn |
| Mar 31, 2025 | 1.81 Mn |
| Dec 31, 2024 | 2.44 Mn |
| Sep 30, 2024 | 2.08 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 1.77 Mn |
| Dec 31, 2023 | 3.06 Mn |
| Sep 30, 2023 | 3.16 Mn |
| Jun 30, 2023 | 970,220.00 |
| Mar 31, 2023 | 1.34 Mn |
| Dec 31, 2022 | 1.35 Mn |
| Sep 30, 2022 | 1.81 Mn |
| Jun 30, 2022 | 2.42 Mn |
API Access
Mira Pharmaceuticals 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=operating-expenses&ticker=MIRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MIRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=MIRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();