Globalfoundries (GFS) Total Non-Current Liabilities (2019 - 2026)
Globalfoundries' Total Non-Current Liabilities came in at $2.81 billion for Q2 2026, compared with $165 million a year earlier and down 0.5% from the prior quarter.
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Analysis
Globalfoundries (GFS) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Globalfoundries' Total Non-Current Liabilities was $2.79 billion, down 4.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.93 billion in FY2024, $186 million in FY2023 (-5.1%), $196 million in FY2022 (-15.9%) and $233 million in FY2021 (-92.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $164 million (Q1 2025) to $4.24 billion (Q1 2022).
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2024 (growth of 4.0%), and the weakest in Q3 2025 (a decline of 95.6%).
- Business Quant data shows GFS's Total Non-Current Liabilities at $2.82 billion (Q1 2026), $2.79 billion (Q4 2025) and $166 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 16.48 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 2.81 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.81 Bn |
| Mar 31, 2026 | 2.82 Bn |
| Dec 31, 2025 | 2.79 Bn |
| Sep 30, 2025 | 166.00 Mn |
| Jun 30, 2025 | 165.00 Mn |
| Mar 31, 2025 | 164.00 Mn |
| Dec 31, 2024 | 2.93 Bn |
| Sep 30, 2024 | 3.80 Bn |
| Jun 30, 2024 | 206.00 Mn |
| Mar 31, 2024 | 204.00 Mn |
| Dec 31, 2023 | 186.00 Mn |
| Sep 30, 2023 | 199.00 Mn |
| Jun 30, 2023 | 198.00 Mn |
| Mar 31, 2023 | 197.00 Mn |
| Dec 31, 2022 | 196.00 Mn |
| Sep 30, 2022 | 230.00 Mn |
| Jun 30, 2022 | 231.00 Mn |
| Mar 31, 2022 | 4.24 Bn |
| Dec 31, 2021 | 233.00 Mn |
| Sep 30, 2021 | 3.72 Bn |
API Access
Globalfoundries 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=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GFS", "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=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();