Praxis Precision Medicines (PRAX) Current Assets (2019 - 2026)
Praxis Precision Medicines' Current Assets came in at $771.9 million for Q2 2026, up 151.8% from $306.58 million a year earlier but down 3.2% from the prior quarter.
Praxis Precision Medicines (PRAX) Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Praxis Precision Medicines' Current Assets was $610.91 million, up 51.1% from FY2024.
- Current Assets carries a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- Going back by year, Current Assets was $404.37 million in FY2024 (+376.4%), $84.88 million in FY2023 (-23.4%), $110.84 million in FY2022 (-61.4%) and $287.41 million in FY2021 (-4.9%).
- The five-year range for quarterly Current Assets is $84.88 million (Q4 2023) to $797.77 million (Q1 2026).
- Year-over-year, Current Assets has increased for three consecutive quarters, with growth averaging 123.3% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in Q4 2024 (growth of 376.4%), and the weakest in Q4 2022 (a decline of 61.4%).
- Business Quant data shows PRAX's Current Assets at $797.77 million (Q1 2026), $610.91 million (Q4 2025) and $273.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 64.67 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 59.77 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 33.67 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 36.68 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 27.35 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 27.97 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 34.96 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 13.95 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 41.36 Bn |
| 10 | Praxis Precision Medicines | 7.47 Bn | 5.06 Bn | - | 771.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 771.90 Mn |
| Mar 31, 2026 | 797.77 Mn |
| Dec 31, 2025 | 610.91 Mn |
| Sep 30, 2025 | 273.84 Mn |
| Jun 30, 2025 | 306.58 Mn |
| Mar 31, 2025 | 333.58 Mn |
| Dec 31, 2024 | 404.37 Mn |
| Sep 30, 2024 | 360.05 Mn |
| Jun 30, 2024 | 356.72 Mn |
| Mar 31, 2024 | 211.80 Mn |
| Dec 31, 2023 | 84.88 Mn |
| Sep 30, 2023 | 103.33 Mn |
| Jun 30, 2023 | 129.83 Mn |
| Mar 31, 2023 | 94.40 Mn |
| Dec 31, 2022 | 110.84 Mn |
| Sep 30, 2022 | 132.31 Mn |
| Jun 30, 2022 | 175.58 Mn |
| Mar 31, 2022 | 234.47 Mn |
| Dec 31, 2021 | 287.41 Mn |
| Sep 30, 2021 | 319.34 Mn |
Praxis Precision Medicines Current 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=current-assets&ticker=PRAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();