Enanta Pharmaceuticals (ENTA) Other Accumulated Expenses (2012 - 2026)
Enanta Pharmaceuticals (ENTA) posted Other Accumulated Expenses of $36.78 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 32.5% from $27.76 million a year earlier and up 16.9% from the prior quarter.
Enanta Pharmaceuticals (ENTA) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Enanta Pharmaceuticals' Other Accumulated Expenses came in at $30.71 million, down 10.9% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 41.5% (FY2020 to FY2025).
- In prior fiscal years, Enanta Pharmaceuticals' Other Accumulated Expenses was $34.46 million in FY2024 (-1.8%), $35.08 million in FY2023 (+534.1%), $5.53 million in FY2022 (-8.7%) and $6.06 million in FY2021 (+12.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2012.
- On a year-over-year basis, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 1.6%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q3 2023, with growth of 780.1%; the weakest was fiscal Q2 2023, with a decline of 62.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $31.46 million (Q2 2026), $31.98 million (Q1 2026) and $30.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Enanta Pharmaceuticals | 377.40 Mn | -350.60 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.78 Mn |
| Mar 31, 2026 | 31.46 Mn |
| Dec 31, 2025 | 31.98 Mn |
| Sep 30, 2025 | 30.71 Mn |
| Jun 30, 2025 | 27.76 Mn |
| Mar 31, 2025 | 30.68 Mn |
| Dec 31, 2024 | 32.74 Mn |
| Sep 30, 2024 | 34.46 Mn |
| Jun 30, 2024 | 32.30 Mn |
| Mar 31, 2024 | 33.67 Mn |
| Dec 31, 2023 | 36.51 Mn |
| Sep 30, 2023 | 35.08 Mn |
| Jun 30, 2023 | 36.69 Mn |
| Mar 31, 2023 | 5.38 Mn |
| Dec 31, 2022 | 6.86 Mn |
| Sep 30, 2022 | 5.53 Mn |
| Jun 30, 2022 | 4.17 Mn |
| Mar 31, 2022 | 14.41 Mn |
| Dec 31, 2021 | 6.45 Mn |
| Sep 30, 2021 | 6.06 Mn |
Enanta Pharmaceuticals Other Accumulated 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=other-accumulated-expenses&ticker=ENTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ENTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();