Gilead Sciences (GILD) Total Non-Current Liabilities (2009 - 2026)
Gilead Sciences (GILD) posted Total Non-Current Liabilities of $35.1 billion for Q2 2026, up 3.3% from $33.98 billion a year earlier and up 14.2% from the prior quarter.
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Analysis
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 $34.26 billion, down 8.9% 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 $37.62 billion in FY2024 (+4.3%), $36.06 billion in FY2023 (-2.2%), $36.87 billion in FY2022 (-10.4%) and $41.15 billion in FY2021 (-6.4%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 2.3%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2021, with growth of 7.3%; the weakest was Q1 2026, with a decline of 12.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $30.73 billion (Q1 2026), $34.26 billion (Q4 2025) and $34.95 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn | 10.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.05 Bn |
| Jun 30, 2026 | 35.19 Bn |
| Mar 31, 2026 | 30.73 Bn |
| Dec 31, 2025 | 34.26 Bn |
| Sep 30, 2025 | 35.03 Bn |
| Jun 30, 2025 | 33.98 Bn |
| Mar 31, 2025 | 35.20 Bn |
| Dec 31, 2024 | 37.62 Bn |
| Sep 30, 2024 | 33.96 Bn |
| Jun 30, 2024 | 33.23 Bn |
| Mar 31, 2024 | 35.48 Bn |
| Dec 31, 2023 | 36.06 Bn |
| Sep 30, 2023 | 37.12 Bn |
| Jun 30, 2023 | 37.28 Bn |
| Mar 31, 2023 | 35.89 Bn |
| Dec 31, 2022 | 36.87 Bn |
| Sep 30, 2022 | 36.41 Bn |
| Jun 30, 2022 | 37.78 Bn |
| Mar 31, 2022 | 37.43 Bn |
| Dec 31, 2021 | 41.15 Bn |
API Access
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_KEYimport 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();