Amgen (AMGN) Total Non-Current Liabilities (2009 - 2026)
Amgen (AMGN) reported Total Non-Current Liabilities of $76.12 billion for Q3 2026, down 5.4% from $80.43 billion a year earlier and down 9.1% from the prior quarter.
Amgen (AMGN) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Amgen posted Total Non-Current Liabilities of $76.86 billion, down 10.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $85.86 billion in FY2024 (+2.3%), $83.92 billion in FY2023 (+37.1%), $61.19 billion in FY2022 (+13.1%) and $54.12 billion in FY2021 (+1.2%).
- The Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2022.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 72.3%); the low point was Q1 2025 (a decline of 10.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $83.78 billion (Q2 2026), $78.19 billion (Q1 2026) and $76.86 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Vertex Pharmaceuticals | 136.55 Bn | 104.28 Bn | 2.91 Bn | 10.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.12 Bn |
| Jun 30, 2026 | 83.78 Bn |
| Mar 31, 2026 | 78.19 Bn |
| Dec 31, 2025 | 76.86 Bn |
| Sep 30, 2025 | 80.43 Bn |
| Jun 30, 2025 | 80.38 Bn |
| Mar 31, 2025 | 78.53 Bn |
| Dec 31, 2024 | 85.86 Bn |
| Sep 30, 2024 | 78.88 Bn |
| Jun 30, 2024 | 84.88 Bn |
| Mar 31, 2024 | 87.86 Bn |
| Dec 31, 2023 | 83.92 Bn |
| Sep 30, 2023 | 82.78 Bn |
| Jun 30, 2023 | 83.24 Bn |
| Mar 31, 2023 | 83.10 Bn |
| Dec 31, 2022 | 61.19 Bn |
| Sep 30, 2022 | 51.49 Bn |
| Jun 30, 2022 | 48.32 Bn |
| Mar 31, 2022 | 48.90 Bn |
| Dec 31, 2021 | 54.12 Bn |
Amgen 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=AMGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AMGN", "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=AMGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();