Mira Pharmaceuticals (MIRA) Prepaid Assets (2023 - 2025)
Mira Pharmaceuticals (MIRA) posted Prepaid Assets of $28,146 for the quarter ended Dec 31, 2025, down 48.6% from $54,729 a year earlier and down 54.6% from the prior quarter.
Mira Pharmaceuticals (MIRA) Prepaid Assets (2023 - 2025) Analysis & Trends
Since the quarter ended Jun 30, 2023, Mira Pharmaceuticals has reported Prepaid Assets for 10 quarters.
- In prior years, Mira Pharmaceuticals' Prepaid Assets was $54,729 in the year ended Dec 31, 2024 (-77.6%) and $243,802 in the year ended Dec 31, 2023.
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Prepaid Assets in data going back to the quarter ended Jun 30, 2023.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $61,936 (quarter ended Sep 30, 2025), $102,404 (quarter ended Jun 30, 2025) and $158,614 (quarter ended Mar 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn |
| 10 | Mira Pharmaceuticals | 14.69 Mn | -5.81 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 28,146.00 |
| Sep 30, 2025 | 61,936.00 |
| Jun 30, 2025 | 102,404.00 |
| Mar 31, 2025 | 158,614.00 |
| Dec 31, 2024 | 54,729.00 |
| Sep 30, 2024 | 86,572.00 |
| Mar 31, 2024 | 185,336.00 |
| Dec 31, 2023 | 243,802.00 |
| Sep 30, 2023 | 254,293.00 |
| Jun 30, 2023 | 42,524.00 |
Mira Pharmaceuticals Prepaid Assets 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=prepaid-assets&ticker=MIRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=MIRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();