Gilead Sciences (GILD) Long-Term Debt Repayments (2009 - 2026)
Gilead Sciences (GILD) reported Long-Term Debt Repayments of $17 million for Q2 2026, up 88.9% from $9 million a year earlier but down 99.4% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gilead Sciences' Long-Term Debt Repayments came in at $2.8 billion, up 48.1% year-over-year; for FY2025, it was $1.79 billion, down 9.2% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.97 billion in FY2024 (-12.4%), $2.25 billion in FY2023 (+50.0%), $1.5 billion in FY2022 (-68.4%) and $4.75 billion in FY2021 (+90.0%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $7 million in Q4 2024 and a high of $2.77 billion in Q1 2026.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters, with an average decline of 21.1% over the last six quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2023 (growth of 125.0%); the low point was Q2 2025 (a decline of 99.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.77 billion (Q1 2026), $8 million (Q4 2025) and $9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.00 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 5.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -2.45 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 17.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.00 Mn |
| Mar 31, 2026 | 2.77 Bn |
| Dec 31, 2025 | 8.00 Mn |
| Sep 30, 2025 | 9.00 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | 1.76 Bn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | 112.00 Mn |
| Jun 30, 2024 | 1.85 Bn |
| Sep 30, 2022 | 1.00 Bn |
| Mar 31, 2022 | 500.00 Mn |
| Dec 31, 2021 | 1.00 Bn |
| Sep 30, 2021 | 2.50 Bn |
| Mar 31, 2021 | 1.25 Bn |
| Sep 30, 2020 | 2.00 Bn |
| Mar 31, 2020 | 500.00 Mn |
| Sep 30, 2019 | 1.50 Bn |
| Jun 30, 2019 | 500.00 Mn |
| Mar 31, 2019 | 750.00 Mn |
| Sep 30, 2018 | 1.75 Bn |
API Access
Gilead Sciences 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=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "GILD", "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=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();