Amgen (AMGN) Total Non-Current Liabilities (2009 - 2026)
Amgen (AMGN) reported Total Non-Current Liabilities of $81.11 billion for Q2 2026, up 4.0% from $77.96 billion a year earlier and up 0.7% 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 $79.24 billion, down 5.2% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $83.61 billion in FY2024 (-3.0%), $86.24 billion in FY2023 (+40.9%), $61.19 billion in FY2022 (+13.1%) and $54.12 billion in FY2021 (+1.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2024.
- Year over year, Total Non-Current Liabilities gained in 1 of the last eight quarters, with an average decline of 3.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 62.3%); the low point was Q2 2025 (a decline of 8.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $80.55 billion (Q1 2026), $79.24 billion (Q4 2025) and $77.91 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 60.97 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.11 Bn |
| Mar 31, 2026 | 80.55 Bn |
| Dec 31, 2025 | 79.24 Bn |
| Sep 30, 2025 | 77.91 Bn |
| Jun 30, 2025 | 77.96 Bn |
| Mar 31, 2025 | 80.74 Bn |
| Dec 31, 2024 | 83.61 Bn |
| Sep 30, 2024 | 81.08 Bn |
| Jun 30, 2024 | 84.88 Bn |
| Mar 31, 2024 | 87.86 Bn |
| Dec 31, 2023 | 86.24 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 | 54.37 Bn |
| Jun 30, 2022 | 51.27 Bn |
| Mar 31, 2022 | 51.63 Bn |
| Dec 31, 2021 | 54.12 Bn |
| Sep 30, 2021 | 50.29 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();