Gilead Sciences (GILD) Non-Current Assets (2009 - 2026)
Gilead Sciences' Non-Current Assets was $35.42 billion in Q2 2026, down 13.6% from $41 billion a year earlier and down 5.9% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Gilead Sciences came in at $40.68 billion, up 2.2% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $39.82 billion in FY2024 (-13.5%), $46.04 billion in FY2023 (-5.5%), $48.73 billion in FY2022 (-8.4%) and $53.18 billion in FY2021 (+1.5%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q3 2020.
- Compared with a year earlier, Non-Current Assets was higher in two of the last eight quarters, with an average decline of 6.1%.
- The best year-over-year quarter for Non-Current Assets over five years was Q3 2021 (growth of 77.3%); the worst was Q3 2024 (a decline of 14.3%).
- Per Business Quant data, GILD's Non-Current Assets in the three quarters before Q2 2026 was $37.64 billion (Q1 2026), $40.68 billion (Q4 2025) and $40.66 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 59.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.42 Bn |
| Mar 31, 2026 | 37.64 Bn |
| Dec 31, 2025 | 40.68 Bn |
| Sep 30, 2025 | 40.66 Bn |
| Jun 30, 2025 | 41.00 Bn |
| Mar 31, 2025 | 39.53 Bn |
| Dec 31, 2024 | 39.82 Bn |
| Sep 30, 2024 | 39.75 Bn |
| Jun 30, 2024 | 41.26 Bn |
| Mar 31, 2024 | 42.25 Bn |
| Dec 31, 2023 | 46.04 Bn |
| Sep 30, 2023 | 46.39 Bn |
| Jun 30, 2023 | 48.05 Bn |
| Mar 31, 2023 | 48.42 Bn |
| Dec 31, 2022 | 48.73 Bn |
| Sep 30, 2022 | 49.00 Bn |
| Jun 30, 2022 | 49.70 Bn |
| Mar 31, 2022 | 50.45 Bn |
| Dec 31, 2021 | 53.18 Bn |
| Sep 30, 2021 | 53.11 Bn |
API Access
Gilead Sciences Non-Current Assets 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-current-assets&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();