Praxis Precision Medicines (PRAX) Accumulated Expenses (2019 - 2026)
Praxis Precision Medicines (PRAX) posted Accumulated Expenses of $24.6 million for Q2 2026, up 39.31% on a QoQ basis from $17.6 million in Q1 2026, and up 29.25% year-over-year from $19.0 million in Q2 2025.
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Praxis Precision Medicines (PRAX) Accumulated Expenses (2019 - 2026) Analysis & Trends
Praxis Precision Medicines has reported Accumulated Expenses for 8 years, with the latest figure at $24.6 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 29.25% year-over-year to $24.6 million in Q2 2026; TTM through Jun 2026 was $24.6 million, a 29.25% increase from a year earlier, with the FY2025 full-year figure at $35.0 million, up 47.43% from the prior year.
- Accumulated Expenses was $24.6 million for Q2 2026 at Praxis Precision Medicines, up from $17.6 million in the prior quarter.
- The five-year high for Accumulated Expenses was $35.0 million in Q4 2025, with the low at $7.0 million in Q1 2024.
- Average Accumulated Expenses over 5 years is $17.6 million, with a median of $16.7 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2023: Accumulated Expenses surged 318.75% in 2022, then sank 69.76% in 2023.
- Over 5 years, Accumulated Expenses stood at $15.8 million in 2022, then plunged by 53.21% to $7.4 million in 2023, then surged by 220.43% to $23.8 million in 2024, then jumped by 47.43% to $35.0 million in 2025, then declined by 29.82% to $24.6 million in 2026.
- The last three Accumulated Expenses figures came in at $24.6 million (Q2 2026), $17.6 million (Q1 2026), and $35.0 million (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.59 Mn |
| Mar 31, 2026 | 17.65 Mn |
| Dec 31, 2025 | 35.03 Mn |
| Sep 30, 2025 | 21.63 Mn |
| Jun 30, 2025 | 19.02 Mn |
| Mar 31, 2025 | 15.55 Mn |
| Dec 31, 2024 | 23.76 Mn |
| Sep 30, 2024 | 15.46 Mn |
| Jun 30, 2024 | 10.06 Mn |
| Mar 31, 2024 | 6.98 Mn |
| Dec 31, 2023 | 7.42 Mn |
| Sep 30, 2023 | 6.98 Mn |
| Jun 30, 2023 | 13.32 Mn |
| Mar 31, 2023 | 9.35 Mn |
| Dec 31, 2022 | 15.85 Mn |
| Sep 30, 2022 | 17.88 Mn |
| Jun 30, 2022 | 25.77 Mn |
| Mar 31, 2022 | 30.93 Mn |
| Dec 31, 2021 | 26.84 Mn |
| Sep 30, 2021 | 16.53 Mn |
API Access
Praxis Precision Medicines Accumulated Expenses 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=accumulated-expenses&ticker=PRAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();