Amneal Pharmaceuticals (AMRX) Total Liabilities (2017 - 2026)
Amneal Pharmaceuticals (AMRX) recorded Total Liabilities of $3.74 billion in Q2 2026, up 5.9% from $3.54 billion a year earlier and up 4.4% from the prior quarter.
Amneal Pharmaceuticals (AMRX) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Amneal Pharmaceuticals reported Total Liabilities of $3.75 billion, up 3.8% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $3.61 billion in FY2024 (+4.6%), $3.45 billion in FY2023 (-4.5%), $3.62 billion in FY2022 (+1.2%) and $3.57 billion in FY2021 (-2.4%).
- Quarterly Total Liabilities has ranged from $3.45 billion in Q4 2023 to $3.87 billion in Q2 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for four consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 6.5% in Q2 2022, against a decline of 8.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.59 billion (Q1 2026), $3.75 billion (Q4 2025) and $3.71 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Amneal Pharmaceuticals | 6.19 Bn | 5.39 Bn | 334.51 Mn | 3.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.74 Bn |
| Mar 31, 2026 | 3.59 Bn |
| Dec 31, 2025 | 3.75 Bn |
| Sep 30, 2025 | 3.71 Bn |
| Jun 30, 2025 | 3.54 Bn |
| Mar 31, 2025 | 3.50 Bn |
| Dec 31, 2024 | 3.61 Bn |
| Sep 30, 2024 | 3.55 Bn |
| Jun 30, 2024 | 3.57 Bn |
| Mar 31, 2024 | 3.52 Bn |
| Dec 31, 2023 | 3.45 Bn |
| Sep 30, 2023 | 3.53 Bn |
| Jun 30, 2023 | 3.55 Bn |
| Mar 31, 2023 | 3.49 Bn |
| Dec 31, 2022 | 3.62 Bn |
| Sep 30, 2022 | 3.68 Bn |
| Jun 30, 2022 | 3.87 Bn |
| Mar 31, 2022 | 3.48 Bn |
| Dec 31, 2021 | 3.57 Bn |
| Sep 30, 2021 | 3.59 Bn |
Amneal 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=AMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AMRX", "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=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();