Praxis Precision Medicines (PRAX) Cash & Equivalents (2019 - 2026)
Praxis Precision Medicines (PRAX) reported Cash & Equivalents of $474.76 million for Q2 2026, up 201.6% from $157.42 million a year earlier but down 11.5% from the prior quarter.
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Analysis
Praxis Precision Medicines (PRAX) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Praxis Precision Medicines posted Cash & Equivalents of $357.33 million, up 65.9% from FY2024.
- Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $215.37 million in FY2024 (+164.9%), $81.3 million in FY2023 (+31.9%), $61.62 million in FY2022 (-55.6%) and $138.7 million in FY2021 (-53.2%).
- Five-year quarterly Cash & Equivalents spans a low of $56.04 million in Q2 2022 and a high of $536.33 million in Q1 2026.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with growth averaging 91.2% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2026 (growth of 223.9%); the low point was Q2 2022 (a decline of 68.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $536.33 million (Q1 2026), $357.33 million (Q4 2025) and $149.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Praxis Precision Medicines | 7.23 Bn | 4.82 Bn | - | 474.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 474.76 Mn |
| Mar 31, 2026 | 536.33 Mn |
| Dec 31, 2025 | 357.33 Mn |
| Sep 30, 2025 | 149.53 Mn |
| Jun 30, 2025 | 157.42 Mn |
| Mar 31, 2025 | 165.57 Mn |
| Dec 31, 2024 | 215.37 Mn |
| Sep 30, 2024 | 168.65 Mn |
| Jun 30, 2024 | 145.14 Mn |
| Mar 31, 2024 | 151.98 Mn |
| Dec 31, 2023 | 81.30 Mn |
| Sep 30, 2023 | 101.09 Mn |
| Jun 30, 2023 | 124.30 Mn |
| Mar 31, 2023 | 80.84 Mn |
| Dec 31, 2022 | 61.62 Mn |
| Sep 30, 2022 | 62.44 Mn |
| Jun 30, 2022 | 56.04 Mn |
| Mar 31, 2022 | 77.85 Mn |
| Dec 31, 2021 | 138.70 Mn |
| Sep 30, 2021 | 165.68 Mn |
API Access
Praxis Precision Medicines Cash & Equivalents 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=cash-and-equivalents&ticker=PRAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();