Scienture Holdings (SCNX) Return on Capital Employed [ROCE] (2014 - 2026)
Scienture Holdings (SCNX) recorded Return on Capital Employed [ROCE] of -18.40% in Q2 2026, up 2.15 percentage points from -20.55% a year earlier but down 1.15 percentage points from the prior quarter.
Scienture Holdings (SCNX) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Scienture Holdings reported Return on Capital Employed [ROCE] of -46.41%, down 17.46 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -9.76 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -28.95% in FY2024, -170.74% in FY2022 (-93.51 pp) and -77.22% in FY2021 (-40.57 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -708.45% in Q2 2023 to -15.95% in Q1 2025 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in two of the last four quarters, with an average year-over-year change of +0.59 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 688.85 percentage points in Q2 2024, against a drop of 579.16 percentage points in Q2 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 11.86% |
| 10 | Scienture Holdings | 4.73 Mn | -12.18 Mn | 335,779.00 | -18.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18.40% |
| Mar 31, 2026 | -17.25% |
| Jun 30, 2025 | -20.55% |
| Mar 31, 2025 | -15.95% |
| Jun 30, 2024 | -19.60% |
| Mar 31, 2024 | -18.41% |
| Dec 31, 2023 | -100.72% |
| Sep 30, 2023 | -105.49% |
| Jun 30, 2023 | -708.45% |
| Dec 31, 2022 | -249.49% |
| Sep 30, 2022 | -101.91% |
| Jun 30, 2022 | -129.29% |
| Mar 31, 2022 | -133.51% |
| Dec 31, 2021 | -112.27% |
| Sep 30, 2021 | -122.80% |
| Jun 30, 2021 | -72.29% |
| Mar 31, 2021 | -39.26% |
| Dec 31, 2020 | -25.11% |
| Sep 30, 2020 | -4.96% |
| Jun 30, 2020 | -4.84% |
Scienture Holdings 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=SCNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SCNX", "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=SCNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();