Amgen (AMGN) Long-Term Debt Issuances (2009 - 2026)
Amgen's Long-Term Debt Issuances came in at $3.96 billion for Q1 2026.
Analysis
Amgen (AMGN) Long-Term Debt Issuances (2009 - 2026) Analysis & Trends
For FY2023, Amgen's Long-Term Debt Issuances was $27.78 billion, up 301.5% from FY2022.
- Long-Term Debt Issuances carries a three-year compound annual growth rate of 46.1% (FY2020 to FY2023).
- Going back by year, Long-Term Debt Issuances was $6.92 billion in FY2022 (+39.9%), $4.95 billion in FY2021 (-44.5%) and $8.91 billion in FY2020.
- The Q1 2026 figure represents the highest quarterly Long-Term Debt Issuances since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 8.94 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | - |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | - |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 1.98 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | - |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 133.09 Bn | 105.09 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.96 Bn |
| Dec 31, 2023 | 4.00 Bn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | -18.00 Mn |
| Mar 31, 2023 | 23.80 Bn |
| Dec 31, 2022 | -19.00 Mn |
| Sep 30, 2022 | 2.98 Bn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 3.95 Bn |
| Dec 31, 2021 | -1.00 Mn |
| Sep 30, 2021 | 4.95 Bn |
| Sep 30, 2020 | -88.00 Mn |
| Jun 30, 2020 | 4.04 Bn |
| Mar 31, 2020 | 4.96 Bn |
| Dec 31, 2017 | 991.00 Mn |
| Jun 30, 2017 | 3.49 Bn |
| Dec 31, 2016 | 605.00 Mn |
| Sep 30, 2016 | 3.81 Bn |
| Jun 30, 2016 | -1.00 Mn |
| Mar 31, 2016 | 2.91 Bn |
API Access
Amgen Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=AMGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=AMGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();