Amneal Pharmaceuticals (AMRX) Total Current Liabilities (2017 - 2026)
Amneal Pharmaceuticals' Total Current Liabilities came in at $883.19 million for Q2 2026, down 20.2% from $1.11 billion a year earlier but up 21.3% from the prior quarter.
Amneal Pharmaceuticals (AMRX) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Amneal Pharmaceuticals' Total Current Liabilities was $881.63 million, down 22.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $1.13 billion in FY2024 (+33.4%), $846.6 million in FY2023 (+12.5%), $752.8 million in FY2022 (+11.2%) and $677.24 million in FY2021 (+0.1%).
- The five-year range for quarterly Total Current Liabilities is $602.04 million (Q1 2022) to $1.13 billion (Q4 2024).
- Year-over-year, Total Current Liabilities has declined for five consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2022 (growth of 47.6%), and the weakest in Q1 2026 (a decline of 32.3%).
- Business Quant data shows AMRX's Total Current Liabilities at $728.05 million (Q1 2026), $881.63 million (Q4 2025) and $862.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,143.52 Bn | 1,112.10 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 622.88 Bn | 541.41 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 510.73 Bn | 483.84 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 366.08 Bn | 320.46 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.30 Bn | 261.29 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.27 Bn | 234.95 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 235.10 Bn | 190.50 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 193.90 Bn | 168.09 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.85 Bn | 118.50 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Amneal Pharmaceuticals | 6.30 Bn | 5.49 Bn | 334.51 Mn | 883.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 883.19 Mn |
| Mar 31, 2026 | 728.05 Mn |
| Dec 31, 2025 | 881.63 Mn |
| Sep 30, 2025 | 862.11 Mn |
| Jun 30, 2025 | 1.11 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 1.11 Bn |
| Mar 31, 2024 | 834.39 Mn |
| Dec 31, 2023 | 846.60 Mn |
| Sep 30, 2023 | 760.60 Mn |
| Jun 30, 2023 | 777.35 Mn |
| Mar 31, 2023 | 703.71 Mn |
| Dec 31, 2022 | 752.80 Mn |
| Sep 30, 2022 | 818.00 Mn |
| Jun 30, 2022 | 993.06 Mn |
| Mar 31, 2022 | 602.04 Mn |
| Dec 31, 2021 | 677.24 Mn |
| Sep 30, 2021 | 667.34 Mn |
Amneal Pharmaceuticals Total 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-current-liabilities&ticker=AMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();