Praxis Precision Medicines (PRAX) Selling, General & Administrative (2019 - 2026)
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Analysis
Praxis Precision Medicines (PRAX) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amgen | 212.54 Bn | 198.55 Bn | 7.24 Bn | 1.75 Bn |
| 2 | Gilead Sciences | 186.84 Bn | 183.58 Bn | 6.22 Bn | 1.92 Bn |
| 3 | Vertex Pharmaceuticals | 129.39 Bn | 121.54 Bn | 2.84 Bn | 582.20 Mn |
| 4 | Regeneron Pharmaceuticals | 82.05 Bn | 74.06 Bn | 3.93 Bn | 662.10 Mn |
| 5 | Moderna | 69.00 Bn | 63.87 Bn | 52.00 Mn | 216.00 Mn |
| 6 | Argenx Se | 61.15 Bn | 55.97 Bn | 1.37 Bn | -417.00 Mn |
| 7 | Alnylam Pharmaceuticals | 32.67 Bn | 29.37 Bn | 992.69 Mn | 347.92 Mn |
| 8 | Biogen | 32.37 Bn | 31.08 Bn | 1.96 Bn | 709.70 Mn |
| 9 | Roivant Sciences | 28.18 Bn | 28.87 Bn | 1.16 Mn | 165.53 Mn |
| 10 | Praxis Precision Medicines | 8.34 Bn | 7.58 Bn | - | 27.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.49 Mn |
| Mar 31, 2026 | 27.87 Mn |
| Dec 31, 2025 | 19.54 Mn |
| Sep 30, 2025 | 12.56 Mn |
| Jun 30, 2025 | 13.06 Mn |
| Mar 31, 2025 | 13.92 Mn |
| Dec 31, 2024 | 15.13 Mn |
| Sep 30, 2024 | 15.26 Mn |
| Jun 30, 2024 | 10.59 Mn |
| Mar 31, 2024 | 15.33 Mn |
| Dec 31, 2023 | 9.93 Mn |
| Sep 30, 2023 | 8.72 Mn |
| Jun 30, 2023 | 10.13 Mn |
| Mar 31, 2023 | 13.27 Mn |
| Dec 31, 2022 | 13.12 Mn |
| Sep 30, 2022 | 13.85 Mn |
| Jun 30, 2022 | 16.77 Mn |
| Mar 31, 2022 | 16.20 Mn |
| Dec 31, 2021 | 15.15 Mn |
| Sep 30, 2021 | 11.63 Mn |
API Access
Praxis Precision Medicines Selling, General & Administrative 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=selling-general-and-administrative&ticker=PRAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();