Praxis Precision Medicines (PRAX) Return on Capital Employed [ROCE] (2020 - 2026)
Praxis Precision Medicines (PRAX) reported Return on Capital Employed [ROCE] of -27.48% for Q2 2026, up 37.62 percentage points from -65.10% a year earlier and up 3.62 percentage points from the prior quarter.
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Analysis
Praxis Precision Medicines (PRAX) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Praxis Precision Medicines posted Return on Capital Employed [ROCE] of -50.13%, up 30.59 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -11.33 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -80.72% in FY2024 (+66.59 pp), -147.31% in FY2023 (-20.54 pp), -126.77% in FY2022 (-62.29 pp) and -64.48% in FY2021 (-25.68 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2020.
- Year over year, Return on Capital Employed [ROCE] gained in five of the last eight quarters, with an average year-over-year change of +28.33 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2024 (a gain of 153.20 percentage points); the low point was Q4 2022 (a drop of 172.58 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -31.10% (Q1 2026), -53.71% (Q4 2025) and -78.85% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 11.86% |
| 10 | Praxis Precision Medicines | 7.38 Bn | 4.97 Bn | - | -27.48% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.48% |
| Mar 31, 2026 | -31.10% |
| Dec 31, 2025 | -53.71% |
| Sep 30, 2025 | -78.85% |
| Jun 30, 2025 | -65.10% |
| Mar 31, 2025 | -52.79% |
| Dec 31, 2024 | -48.57% |
| Sep 30, 2024 | -41.44% |
| Jun 30, 2024 | -40.81% |
| Mar 31, 2024 | -86.56% |
| Dec 31, 2023 | -154.89% |
| Sep 30, 2023 | -135.52% |
| Jun 30, 2023 | -173.53% |
| Mar 31, 2023 | -239.76% |
| Dec 31, 2022 | -234.52% |
| Sep 30, 2022 | -179.05% |
| Jun 30, 2022 | -135.73% |
| Mar 31, 2022 | -94.50% |
| Dec 31, 2021 | -61.94% |
| Sep 30, 2021 | -42.77% |
API Access
Praxis Precision Medicines Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PRAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PRAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();