Praxis Precision Medicines (PRAX) Prepaid Assets (2019 - 2026)
Praxis Precision Medicines (PRAX) posted Prepaid Assets of $13.4 million for Q2 2026, up 22.39% on a QoQ basis from $10.9 million in Q1 2026, and up 151.73% year-over-year from $5.3 million in Q2 2025.
Praxis Precision Medicines (PRAX) Prepaid Assets (2019 - 2026) Analysis & Trends
Praxis Precision Medicines has reported Prepaid Assets for 8 years, with the latest figure at $13.4 million in Q2 2026.
- On a quarterly basis, Prepaid Assets rose 151.73% year-over-year to $13.4 million in Q2 2026; TTM through Jun 2026 was $13.4 million, a 151.73% increase from a year earlier, with the FY2025 full-year figure at $11.6 million, down 1.91% from the prior year.
- Prepaid Assets was $13.4 million for Q2 2026 at Praxis Precision Medicines, up from $10.9 million in the prior quarter.
- The five-year high for Prepaid Assets was $13.4 million in Q2 2026, with the low at $2.2 million in Q3 2023.
- Average Prepaid Assets over 5 years is $7.7 million, with a median of $7.6 million recorded in 2022.
- The sharpest annual moves came in 2023 and 2024: Prepaid Assets tumbled 73.85% in 2023, then jumped 229.75% in 2024.
- Over 5 years, Prepaid Assets stood at $10.4 million in 2022, then sank by 65.41% to $3.6 million in 2023, then surged by 229.75% to $11.8 million in 2024, then slipped by 1.91% to $11.6 million in 2025, then grew by 15.3% to $13.4 million in 2026.
- The last three Prepaid Assets figures came in at $13.4 million (Q2 2026), $10.9 million (Q1 2026), and $11.6 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amgen | 212.54 Bn | 198.55 Bn | 7.24 Bn |
| 2 | Gilead Sciences | 186.84 Bn | 183.58 Bn | 6.22 Bn |
| 3 | Vertex Pharmaceuticals | 129.39 Bn | 121.54 Bn | 2.84 Bn |
| 4 | Regeneron Pharmaceuticals | 82.05 Bn | 74.06 Bn | 3.93 Bn |
| 5 | Moderna | 69.00 Bn | 63.87 Bn | 52.00 Mn |
| 6 | Argenx Se | 61.15 Bn | 55.97 Bn | 1.37 Bn |
| 7 | Alnylam Pharmaceuticals | 32.67 Bn | 29.37 Bn | 992.69 Mn |
| 8 | Biogen | 32.37 Bn | 31.08 Bn | 1.96 Bn |
| 9 | Roivant Sciences | 28.18 Bn | 28.87 Bn | 1.16 Mn |
| 10 | Praxis Precision Medicines | 8.34 Bn | 7.58 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.35 Mn |
| Mar 31, 2026 | 10.91 Mn |
| Dec 31, 2025 | 11.58 Mn |
| Sep 30, 2025 | 6.69 Mn |
| Jun 30, 2025 | 5.30 Mn |
| Mar 31, 2025 | 5.58 Mn |
| Dec 31, 2024 | 11.81 Mn |
| Sep 30, 2024 | 3.02 Mn |
| Jun 30, 2024 | 4.84 Mn |
| Mar 31, 2024 | 4.39 Mn |
| Dec 31, 2023 | 3.58 Mn |
| Sep 30, 2023 | 2.24 Mn |
| Jun 30, 2023 | 5.53 Mn |
| Mar 31, 2023 | 8.58 Mn |
| Dec 31, 2022 | 10.35 Mn |
| Sep 30, 2022 | 8.57 Mn |
| Jun 30, 2022 | 10.18 Mn |
| Mar 31, 2022 | 11.96 Mn |
| Dec 31, 2021 | 11.50 Mn |
| Sep 30, 2021 | 4.97 Mn |
Praxis Precision Medicines 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=PRAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "PRAX", "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=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();