Praxis Precision Medicines (PRAX) Research & Development (2019 - 2026)
Praxis Precision Medicines' Research & Development came in at $69.42 million for Q2 2026, up 10.2% from $63.01 million a year earlier but down 11.0% from the prior quarter.
Praxis Precision Medicines (PRAX) Research & Development (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Praxis Precision Medicines reported Research & Development of $290.71 million, up 31.0% year-over-year; for FY2025, it was $267.12 million, up 75.3% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- Going back by year, Research & Development was $152.41 million in FY2024 (+75.7%), $86.77 million in FY2023 (-44.0%), $155.04 million in FY2022 (+28.9%) and $120.26 million in FY2021 (+167.4%).
- The five-year range for quarterly Research & Development is $17.26 million (Q3 2023) to $77.99 million (Q1 2026).
- Year-over-year, Research & Development has increased for ten consecutive quarters, with growth averaging 92.3% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q4 2024 (growth of 206.1%), and the weakest in Q1 2023 (a decline of 51.6%).
- Business Quant data shows PRAX's Research & Development at $77.99 million (Q1 2026), $77.51 million (Q4 2025) and $65.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.13 Bn | 1,102.72 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 616.20 Bn | 534.73 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 501.09 Bn | 474.20 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 297.88 Bn | 261.87 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.36 Bn | 235.05 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 235.80 Bn | 191.20 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.78 Bn | 164.97 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 169.43 Bn | 116.08 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Praxis Precision Medicines | 7.63 Bn | 5.22 Bn | - | 69.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.42 Mn |
| Mar 31, 2026 | 77.99 Mn |
| Dec 31, 2025 | 77.51 Mn |
| Sep 30, 2025 | 65.80 Mn |
| Jun 30, 2025 | 63.01 Mn |
| Mar 31, 2025 | 60.81 Mn |
| Dec 31, 2024 | 56.29 Mn |
| Sep 30, 2024 | 41.88 Mn |
| Jun 30, 2024 | 27.26 Mn |
| Mar 31, 2024 | 26.98 Mn |
| Dec 31, 2023 | 18.39 Mn |
| Sep 30, 2023 | 17.26 Mn |
| Jun 30, 2023 | 25.61 Mn |
| Mar 31, 2023 | 25.50 Mn |
| Dec 31, 2022 | 28.33 Mn |
| Sep 30, 2022 | 30.44 Mn |
| Jun 30, 2022 | 43.62 Mn |
| Mar 31, 2022 | 52.65 Mn |
| Dec 31, 2021 | 43.51 Mn |
| Sep 30, 2021 | 33.14 Mn |
Praxis Precision Medicines Research & Development 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=research-and-development&ticker=PRAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();