Globalfoundries (GFS) Total Current Liabilities (2020 - 2026)
Globalfoundries (GFS) posted Total Current Liabilities of $2.21 billion for Q2 2026, down 8.5% from $2.41 billion a year earlier and down 5.2% from the prior quarter.
Globalfoundries (GFS) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Globalfoundries' Total Current Liabilities came in at $2.37 billion, down 22.2% from FY2024.
- Annual Total Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 44.0% (FY2020 to FY2025).
- In prior years, Globalfoundries' Total Current Liabilities was $3.04 billion in FY2024 (-1.8%), $3.1 billion in FY2023 (-7.7%), $3.36 billion in FY2022 (+6.2%) and $3.16 billion in FY2021 (+728.4%).
- Quarterly Total Current Liabilities has run from a low of $2.09 billion in Q3 2025 to a high of $3.87 billion in Q3 2022 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last eight quarters, with an average decline of 11.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2021, with growth of 728.4%; the weakest was Q3 2023, with a decline of 29.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $2.33 billion (Q1 2026), $2.37 billion (Q4 2025) and $2.09 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 58.78 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 19.49 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 28.24 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21 Bn |
| Mar 31, 2026 | 2.33 Bn |
| Dec 31, 2025 | 2.37 Bn |
| Sep 30, 2025 | 2.09 Bn |
| Jun 30, 2025 | 2.41 Bn |
| Mar 31, 2025 | 2.43 Bn |
| Dec 31, 2024 | 3.04 Bn |
| Sep 30, 2024 | 2.72 Bn |
| Jun 30, 2024 | 2.83 Bn |
| Mar 31, 2024 | 2.85 Bn |
| Dec 31, 2023 | 3.10 Bn |
| Sep 30, 2023 | 2.75 Bn |
| Jun 30, 2023 | 2.79 Bn |
| Mar 31, 2023 | 2.90 Bn |
| Dec 31, 2022 | 3.36 Bn |
| Sep 30, 2022 | 3.87 Bn |
| Jun 30, 2022 | 3.31 Bn |
| Mar 31, 2022 | 3.32 Bn |
| Dec 31, 2021 | 3.16 Bn |
| Sep 30, 2021 | 2.42 Bn |
Globalfoundries Total 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-current-liabilities&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();