Scienture Holdings (SCNX) Interest Expenses (2013 - 2026)
Scienture Holdings' Interest Expenses was $269,785 in Q2 2026, down 58.7% from $653,493 a year earlier but up 628.8% from the prior quarter.
Scienture Holdings (SCNX) Interest Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Scienture Holdings' Interest Expenses was $4.27 million through Jun 30, 2026, up 60.4% year-over-year; for FY2025, it came in at $4.08 million, up 205.7% from FY2024.
- Interest Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 168.3% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $1.34 million in FY2024 (+16.8%), $1.14 million in FY2023 (+240.0%), $336,206 in FY2022 and $23,590 in FY2021 (-19.7%).
- Quarterly Interest Expenses has moved between $1,364 (Q1 2022) and $3.94 million (Q4 2025) over five years.
- Compared with a year earlier, Interest Expenses was higher in three of the last seven quarters, with growth averaging 84.2%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2025 (growth of 580.9%); the worst was Q2 2024 (a decline of 97.3%).
- Per Business Quant data, SCNX's Interest Expenses in the three quarters before Q2 2026 was $37,019 (Q1 2026), $3.94 million (Q4 2025) and $17,478 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Scienture Holdings | 10.68 Mn | 10.68 Mn | 335,779.00 | 269,785.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269,785.00 |
| Mar 31, 2026 | 37,019.00 |
| Dec 31, 2025 | 3.94 Mn |
| Sep 30, 2025 | 17,478.00 |
| Jun 30, 2025 | 653,493.00 |
| Mar 31, 2025 | 670,784.00 |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 43,200.00 |
| Jun 30, 2024 | 4,949.00 |
| Mar 31, 2024 | 98,515.00 |
| Dec 31, 2023 | 648,319.00 |
| Sep 30, 2023 | 251,778.00 |
| Jun 30, 2023 | 180,734.00 |
| Mar 31, 2023 | 62,392.00 |
| Dec 31, 2022 | 195,580.00 |
| Sep 30, 2022 | 130,107.00 |
| Jun 30, 2022 | 9,155.00 |
| Mar 31, 2022 | 1,364.00 |
| Dec 31, 2021 | 2,016.00 |
| Sep 30, 2021 | 5,622.00 |
Scienture Holdings Interest 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=interest-expenses&ticker=SCNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SCNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();