Gilead Sciences (GILD) Total Non-Current Liabilities (2009 - 2026)
Gilead Sciences (GILD) posted Total Non-Current Liabilities of $36.04 billion for Q2 2026, up 3.4% from $34.84 billion a year earlier and up 13.9% from the prior quarter.
Gilead Sciences (GILD) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gilead Sciences' Total Non-Current Liabilities came in at $35.16 billion, down 8.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In prior years, Gilead Sciences' Total Non-Current Liabilities was $38.45 billion in FY2024 (+3.0%), $37.34 billion in FY2023 (-1.9%), $38.05 billion in FY2022 (-9.7%) and $42.12 billion in FY2021 (-6.8%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 2.5%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2021, with growth of 6.8%; the weakest was Q1 2026, with a decline of 12.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $31.65 billion (Q1 2026), $35.16 billion (Q4 2025) and $35.81 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 60.97 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.04 Bn |
| Mar 31, 2026 | 31.65 Bn |
| Dec 31, 2025 | 35.16 Bn |
| Sep 30, 2025 | 35.81 Bn |
| Jun 30, 2025 | 34.84 Bn |
| Mar 31, 2025 | 36.02 Bn |
| Dec 31, 2024 | 38.45 Bn |
| Sep 30, 2024 | 34.74 Bn |
| Jun 30, 2024 | 33.96 Bn |
| Mar 31, 2024 | 36.87 Bn |
| Dec 31, 2023 | 37.34 Bn |
| Sep 30, 2023 | 38.04 Bn |
| Jun 30, 2023 | 38.63 Bn |
| Mar 31, 2023 | 37.16 Bn |
| Dec 31, 2022 | 38.05 Bn |
| Sep 30, 2022 | 37.52 Bn |
| Jun 30, 2022 | 38.77 Bn |
| Mar 31, 2022 | 38.37 Bn |
| Dec 31, 2021 | 42.12 Bn |
| Sep 30, 2021 | 40.99 Bn |
Gilead Sciences Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();