Praxis Precision Medicines (PRAX) Return on Equity [ROE] (2020 - 2026)
Praxis Precision Medicines (PRAX) reported Return on Equity [ROE] of -27.49% for Q2 2026, up 36.91 percentage points from -64.40% a year earlier and up 3.74 percentage points from the prior quarter.
Praxis Precision Medicines (PRAX) Return on Equity [ROE] (2020 - 2026) Analysis & Trends
For FY2025, Praxis Precision Medicines posted Return on Equity [ROE] of -49.29%, up 28.43 percentage points from FY2024.
- Return on Equity [ROE] has a five-year change of +10.60 percentage points (FY2020 to FY2025).
- By year, Return on Equity [ROE] came in at -77.72% in FY2024 (+95.66 pp), -173.38% in FY2023 (-42.44 pp), -130.94% in FY2022 (-68.86 pp) and -62.07% in FY2021 (-2.18 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Equity [ROE] in data going back to Q4 2020.
- Year over year, Return on Equity [ROE] gained in five of the last eight quarters, with an average year-over-year change of +30.56 percentage points.
- The high point for year-over-year Return on Equity [ROE] in five years was Q1 2024 (a gain of 174.65 percentage points); the low point was Q4 2022 (a drop of 175.71 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -31.23% (Q1 2026), -53.40% (Q4 2025) and -78.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 82.09% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 25.32% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 7.21% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.52% |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 21.39% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.75% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -18.38% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 4.97% |
| 10 | Praxis Precision Medicines | 7.47 Bn | 5.06 Bn | - | -27.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.49% |
| Mar 31, 2026 | -31.23% |
| Dec 31, 2025 | -53.40% |
| Sep 30, 2025 | -78.40% |
| Jun 30, 2025 | -64.40% |
| Mar 31, 2025 | -52.68% |
| Dec 31, 2024 | -48.34% |
| Sep 30, 2024 | -40.91% |
| Jun 30, 2024 | -40.91% |
| Mar 31, 2024 | -86.97% |
| Dec 31, 2023 | -161.58% |
| Sep 30, 2023 | -145.57% |
| Jun 30, 2023 | -186.31% |
| Mar 31, 2023 | -261.62% |
| Dec 31, 2022 | -236.82% |
| Sep 30, 2022 | -189.95% |
| Jun 30, 2022 | -140.97% |
| Mar 31, 2022 | -94.40% |
| Dec 31, 2021 | -61.11% |
| Sep 30, 2021 | -42.62% |
Praxis Precision Medicines Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=PRAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();