Praxis Precision Medicines (PRAX) Non-Current Assets (2019 - 2026)
Praxis Precision Medicines' Non-Current Assets was $618.2 million in Q2 2026, up 322.7% from $146.25 million a year earlier but down 6.7% from the prior quarter.
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Analysis
Praxis Precision Medicines (PRAX) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Praxis Precision Medicines came in at $327 million, up 315.3% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 228.8% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $78.74 million in FY2024, $3.07 million in FY2023 (-28.5%), $4.29 million in FY2022 (-19.7%) and $5.34 million in FY2021 (+527.3%).
- Quarterly Non-Current Assets has moved between $3.07 million (Q4 2023) and $662.43 million (Q1 2026) over five years.
- Compared with a year earlier, Non-Current Assets has increased for six straight quarters, with growth averaging 243.6% over the last six quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2024 (growth of 869.7%); the worst was Q4 2023 (a decline of 28.5%).
- Per Business Quant data, PRAX's Non-Current Assets in the three quarters before Q2 2026 was $662.43 million (Q1 2026), $327 million (Q4 2025) and $122.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.62 Bn | 1,105.21 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 617.59 Bn | 536.12 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 501.69 Bn | 474.80 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 368.29 Bn | 322.67 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 297.79 Bn | 261.78 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 260.82 Bn | 234.50 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 236.53 Bn | 191.93 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 191.14 Bn | 165.33 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 169.69 Bn | 116.33 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Praxis Precision Medicines | 7.50 Bn | 5.08 Bn | - | 618.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 618.20 Mn |
| Mar 31, 2026 | 662.43 Mn |
| Dec 31, 2025 | 327.00 Mn |
| Sep 30, 2025 | 122.54 Mn |
| Jun 30, 2025 | 146.25 Mn |
| Mar 31, 2025 | 145.16 Mn |
| Dec 31, 2024 | 78.74 Mn |
| Sep 30, 2024 | 56.21 Mn |
| Jun 30, 2024 | 84.35 Mn |
| Mar 31, 2024 | 38.61 Mn |
| Dec 31, 2023 | 3.07 Mn |
| Sep 30, 2023 | 3.40 Mn |
| Jun 30, 2023 | 3.67 Mn |
| Mar 31, 2023 | 3.98 Mn |
| Dec 31, 2022 | 4.29 Mn |
| Sep 30, 2022 | 4.59 Mn |
| Jun 30, 2022 | 4.84 Mn |
| Mar 31, 2022 | 5.03 Mn |
| Dec 31, 2021 | 5.34 Mn |
| Sep 30, 2021 | 5.07 Mn |
API Access
Praxis Precision Medicines Non-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=non-current-assets&ticker=PRAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();