Enanta Pharmaceuticals (ENTA) Total Liabilities (2012 - 2026)
Enanta Pharmaceuticals (ENTA) recorded Total Liabilities of $195.8 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 11.7% from $221.75 million a year earlier and down 1.2% from the prior quarter.
Enanta Pharmaceuticals (ENTA) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Enanta Pharmaceuticals reported Total Liabilities of $216.02 million, down 12.8% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 47.9% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $247.84 million in FY2024 (+0.9%), $245.54 million in FY2023 (+354.1%), $54.08 million in FY2022 (+37.4%) and $39.36 million in FY2021 (+28.8%).
- The fiscal Q3 2026 figure is the lowest quarterly Total Liabilities since fiscal Q2 2023.
- On a year-over-year basis, Total Liabilities has declined for six consecutive quarters, with an average decline of 8.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 445.3% in fiscal Q3 2023, against a decline of 16.9% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $198.12 million (Q2 2026), $202.91 million (Q1 2026) and $216.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Enanta Pharmaceuticals | 338.32 Mn | -389.68 Mn | - | 195.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.80 Mn |
| Mar 31, 2026 | 198.12 Mn |
| Dec 31, 2025 | 202.91 Mn |
| Sep 30, 2025 | 216.02 Mn |
| Jun 30, 2025 | 221.75 Mn |
| Mar 31, 2025 | 229.46 Mn |
| Dec 31, 2024 | 236.83 Mn |
| Sep 30, 2024 | 247.84 Mn |
| Jun 30, 2024 | 249.91 Mn |
| Mar 31, 2024 | 247.44 Mn |
| Dec 31, 2023 | 236.62 Mn |
| Sep 30, 2023 | 245.54 Mn |
| Jun 30, 2023 | 257.35 Mn |
| Mar 31, 2023 | 57.07 Mn |
| Dec 31, 2022 | 46.70 Mn |
| Sep 30, 2022 | 54.08 Mn |
| Jun 30, 2022 | 47.19 Mn |
| Mar 31, 2022 | 48.24 Mn |
| Dec 31, 2021 | 56.21 Mn |
| Sep 30, 2021 | 39.36 Mn |
Enanta Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=ENTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ENTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();