Gilead Sciences (GILD) Non Operating Interest Expenses (2009 - 2026)
Gilead Sciences' Non Operating Interest Expenses was $247 million in Q2 2026, down 2.8% from $254 million a year earlier but up 2.9% from the prior quarter.
Gilead Sciences (GILD) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gilead Sciences' Non Operating Interest Expenses was $998 million through Jun 30, 2026, down 0.3% year-over-year; for FY2025, it came in at $1.02 billion, up 4.8% from FY2024.
- Non Operating Interest Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In earlier years, Non Operating 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%).
- Quarterly Non Operating Interest Expenses has moved between $226 million (Q4 2022) and $260 million (Q1 2025) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in five of the last eight quarters, with growth averaging 1.3%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2023 (growth of 11.5%); the worst was Q4 2021 (a decline of 10.9%).
- Per Business Quant data, GILD's Non Operating Interest Expenses in the three quarters before Q2 2026 was $240 million (Q1 2026), $255 million (Q4 2025) and $256 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | - |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -462.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -435.00 Mn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 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 Non Operating 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=non-operating-interest-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();