Enanta Pharmaceuticals (ENTA) Accumulated Expenses (2012 - 2026)
Enanta Pharmaceuticals (ENTA) recorded Accumulated Expenses of $10.18 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.2% from $10.85 million a year earlier but up 48.5% from the prior quarter.
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Analysis
Enanta Pharmaceuticals (ENTA) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Enanta Pharmaceuticals reported Accumulated Expenses of $12.75 million, down 5.9% from FY2024.
- Annual Accumulated Expenses has declined for four straight fiscal years, with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $13.55 million in FY2024 (-26.1%), $18.34 million in FY2023 (-12.4%), $20.94 million in FY2022 (-6.7%) and $22.43 million in FY2021 (+58.4%).
- Quarterly Accumulated Expenses has ranged from $6.86 million in fiscal Q2 2026 to $26.58 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for 16 consecutive quarters, with an average decline of 16.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 130.3% in fiscal Q1 2022, against a decline of 43.0% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.86 million (Q2 2026), $7.58 million (Q1 2026) and $12.75 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.18 Mn |
| Mar 31, 2026 | 6.86 Mn |
| Dec 31, 2025 | 7.58 Mn |
| Sep 30, 2025 | 12.75 Mn |
| Jun 30, 2025 | 10.85 Mn |
| Mar 31, 2025 | 8.31 Mn |
| Dec 31, 2024 | 10.58 Mn |
| Sep 30, 2024 | 13.55 Mn |
| Jun 30, 2024 | 12.83 Mn |
| Mar 31, 2024 | 10.63 Mn |
| Dec 31, 2023 | 11.60 Mn |
| Sep 30, 2023 | 18.34 Mn |
| Jun 30, 2023 | 18.20 Mn |
| Mar 31, 2023 | 15.48 Mn |
| Dec 31, 2022 | 15.16 Mn |
| Sep 30, 2022 | 20.94 Mn |
| Jun 30, 2022 | 19.19 Mn |
| Mar 31, 2022 | 21.74 Mn |
| Dec 31, 2021 | 26.58 Mn |
| Sep 30, 2021 | 22.43 Mn |
API Access
Enanta Pharmaceuticals 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=accumulated-expenses&ticker=ENTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=ENTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();