Enanta Pharmaceuticals (ENTA) Non Operating Interest Expenses (2012 - 2026)
Enanta Pharmaceuticals' Non Operating Interest Expenses came in at $4.13 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 155.3% from $1.62 million a year earlier and up 24.5% from the prior quarter.
Enanta Pharmaceuticals (ENTA) Non Operating Interest Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Enanta Pharmaceuticals reported Non Operating Interest Expenses of $12.92 million, up 64.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $7.68 million, down 29.8% from FY2024.
- Going back by fiscal year, Non Operating Interest Expenses was $10.94 million in FY2024 (+112.5%) and $5.15 million in FY2023.
- The fiscal Q3 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2013.
- Year-over-year, Non Operating Interest Expenses has increased for three consecutive quarters, with growth averaging 21.6% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q3 2026 (growth of 155.3%), and the weakest in fiscal Q1 2025 (a decline of 43.0%).
- Business Quant data shows ENTA's Non Operating Interest Expenses at $3.32 million (Q2 2026), $3.08 million (Q1 2026) and $2.39 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | Enanta Pharmaceuticals | 383.80 Mn | -344.19 Mn | - | 4.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.13 Mn |
| Mar 31, 2026 | 3.32 Mn |
| Dec 31, 2025 | 3.08 Mn |
| Sep 30, 2025 | 2.39 Mn |
| Jun 30, 2025 | 1.62 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 1.96 Mn |
| Sep 30, 2024 | 2.58 Mn |
| Jun 30, 2024 | 2.36 Mn |
| Mar 31, 2024 | 2.56 Mn |
| Dec 31, 2023 | 3.44 Mn |
| Sep 30, 2023 | 3.15 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Dec 31, 2017 | 9,000.00 |
| Sep 30, 2017 | 9,000.00 |
| Jun 30, 2017 | 11,000.00 |
| Mar 31, 2017 | 8,000.00 |
| Dec 31, 2016 | 12,000.00 |
| Sep 30, 2016 | 11,000.00 |
| Jun 30, 2016 | 11,000.00 |
Enanta Pharmaceuticals Non Operating 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=non-operating-interest-expenses&ticker=ENTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ENTA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=ENTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();