Gilead Sciences (GILD) Interest Expenses (2009 - 2026)
Gilead Sciences' Interest Expenses came in at $247 million for Q2 2026, down 2.8% from $254 million a year earlier but up 2.9% from the prior quarter.
Gilead Sciences (GILD) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gilead Sciences reported Interest Expenses of $998 million, down 0.3% year-over-year; for FY2025, it came in at $1.02 billion, up 4.8% from FY2024.
- Interest Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $977 million in FY2024 (+3.5%), $944 million in FY2023 (+1.0%), $935 million in FY2022 (-6.6%) and $1 billion in FY2021 (+1.7%).
- The five-year range for quarterly Interest Expenses is $226 million (Q4 2022) to $260 million (Q1 2025).
- Year-over-year, Interest Expenses increased in five of the last eight quarters, with growth averaging 1.3%.
- The fastest year-over-year change in Interest Expenses over five years came in Q4 2023 (growth of 11.5%), and the weakest in Q4 2021 (a decline of 10.9%).
- Business Quant data shows GILD's Interest Expenses at $240 million (Q1 2026), $255 million (Q4 2025) and $256 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.48 Bn | 1,106.07 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 618.81 Bn | 537.34 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 502.02 Bn | 475.14 Bn | 12.70 Bn | - |
| 4 | Merck | 368.25 Bn | 322.63 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 297.87 Bn | 261.86 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 260.90 Bn | 234.58 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 236.67 Bn | 192.07 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.16 Bn | 165.36 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 169.69 Bn | 116.34 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 133.10 Bn | 105.11 Bn | 2.84 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 247.00 Mn |
| Mar 31, 2026 | 240.00 Mn |
| Dec 31, 2025 | 255.00 Mn |
| Sep 30, 2025 | 256.00 Mn |
| Jun 30, 2025 | 254.00 Mn |
| Mar 31, 2025 | 260.00 Mn |
| Dec 31, 2024 | 249.00 Mn |
| Sep 30, 2024 | 238.00 Mn |
| Jun 30, 2024 | 237.00 Mn |
| Mar 31, 2024 | 254.00 Mn |
| Dec 31, 2023 | 252.00 Mn |
| Sep 30, 2023 | 232.00 Mn |
| Jun 30, 2023 | 230.00 Mn |
| Mar 31, 2023 | 230.00 Mn |
| Dec 31, 2022 | 226.00 Mn |
| Sep 30, 2022 | 229.00 Mn |
| Jun 30, 2022 | 242.00 Mn |
| Mar 31, 2022 | 238.00 Mn |
| Dec 31, 2021 | 238.00 Mn |
| Sep 30, 2021 | 250.00 Mn |
Gilead Sciences Interest Expenses 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=interest-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();