Amneal Pharmaceuticals (AMRX) Total Non-Current Liabilities (2017 - 2026)
Amneal Pharmaceuticals' Total Non-Current Liabilities came in at $2.78 billion for Q2 2026, up 17.5% from $2.36 billion a year earlier and up 0.1% from the prior quarter.
Amneal Pharmaceuticals (AMRX) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Amneal Pharmaceuticals' Total Non-Current Liabilities was $2.79 billion, up 15.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.42 billion in FY2024 (-5.8%), $2.56 billion in FY2023 (-9.6%), $2.84 billion in FY2022 (-1.4%) and $2.88 billion in FY2021 (-3.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $2.35 billion (Q1 2025) to $2.91 billion (Q3 2021).
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 4.5% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 18.0%), and the weakest in Q2 2024 (a decline of 12.4%).
- Business Quant data shows AMRX's Total Non-Current Liabilities at $2.77 billion (Q1 2026), $2.79 billion (Q4 2025) and $2.78 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Amneal Pharmaceuticals | 6.19 Bn | 5.39 Bn | 334.51 Mn | 2.78 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Bn |
| Mar 31, 2026 | 2.77 Bn |
| Dec 31, 2025 | 2.79 Bn |
| Sep 30, 2025 | 2.78 Bn |
| Jun 30, 2025 | 2.36 Bn |
| Mar 31, 2025 | 2.35 Bn |
| Dec 31, 2024 | 2.42 Bn |
| Sep 30, 2024 | 2.40 Bn |
| Jun 30, 2024 | 2.40 Bn |
| Mar 31, 2024 | 2.64 Bn |
| Dec 31, 2023 | 2.56 Bn |
| Sep 30, 2023 | 2.74 Bn |
| Jun 30, 2023 | 2.74 Bn |
| Mar 31, 2023 | 2.76 Bn |
| Dec 31, 2022 | 2.84 Bn |
| Sep 30, 2022 | 2.84 Bn |
| Jun 30, 2022 | 2.86 Bn |
| Mar 31, 2022 | 2.86 Bn |
| Dec 31, 2021 | 2.88 Bn |
| Sep 30, 2021 | 2.91 Bn |
Amneal Pharmaceuticals Total Non-Current 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-non-current-liabilities&ticker=AMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();