Ionis Pharmaceuticals (IONS) Long-Term Debt Repayments (2009 - 2026)
Ionis Pharmaceuticals (IONS) posted Long-Term Debt Repayments of $432.55 million for Q2 2026, compared with $40,000 a year earlier.
Ionis Pharmaceuticals (IONS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Ionis Pharmaceuticals was $700.33 million; for FY2025, it came in at $267.82 million, up 499.5% from FY2024.
- Annual Long-Term Debt Repayments shows a four-year compound annual growth rate of 44.2% (FY2021 to FY2025).
- In prior years, Ionis Pharmaceuticals' Long-Term Debt Repayments was $44.67 million in FY2024 (-90.8%), $488.1 million in FY2023 (+863.0%), $50.69 million in FY2022 (-18.2%) and $61.97 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q4 2014.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last six quarters, with growth averaging 66.9%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2025, with growth of 500.9%; the weakest was Q2 2024, with a decline of 100.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $44,000 (Q1 2026), $267.69 million (Q4 2025) and $41,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | - |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | -4.91 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 3.05 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 19.00 Mn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | - |
| 10 | Ionis Pharmaceuticals | 6.52 Bn | -2.37 Bn | 265.21 Mn | 432.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 432.55 Mn |
| Mar 31, 2026 | 44,000.00 |
| Dec 31, 2025 | 267.69 Mn |
| Sep 30, 2025 | 41,000.00 |
| Jun 30, 2025 | 40,000.00 |
| Mar 31, 2025 | 42,000.00 |
| Dec 31, 2024 | 44.55 Mn |
| Sep 30, 2024 | 48,000.00 |
| Jun 30, 2024 | 39,000.00 |
| Mar 31, 2024 | 39,000.00 |
| Dec 31, 2023 | 38,000.00 |
| Sep 30, 2023 | 67.83 Mn |
| Jun 30, 2023 | 420.19 Mn |
| Mar 31, 2023 | 39,000.00 |
| Dec 31, 2022 | 50.60 Mn |
| Sep 30, 2022 | 89,000.00 |
| Dec 31, 2021 | -195.00 Mn |
| Dec 31, 2017 | 22,000.00 |
| Sep 30, 2017 | 299,000.00 |
| Jun 30, 2017 | 1.64 Mn |
Ionis Pharmaceuticals Long-Term Debt Repayments 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-repayments&ticker=IONS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "IONS", "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-repayments&ticker=IONS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();