Globalfoundries (GFS) Cash & Equivalents (2019 - 2026)
Globalfoundries (GFS) posted Cash & Equivalents of $1.09 billion for Q2 2026, down 39.3% from $1.79 billion a year earlier and down 41.2% from the prior quarter.
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Analysis
Globalfoundries (GFS) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Globalfoundries' Cash & Equivalents came in at $1.81 billion, down 17.5% from FY2024.
- Annual Cash & Equivalents has declined for three consecutive years, though with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- In prior years, Globalfoundries' Cash & Equivalents was $2.19 billion in FY2024 (-8.2%), $2.39 billion in FY2023 (-18.8%), $2.94 billion in FY2022 (unchanged) and $2.94 billion in FY2021 (+223.7%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q3 2021.
- On a year-over-year basis, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 10.8%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2022, with growth of 414.0%; the weakest was Q2 2026, with a decline of 39.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.85 billion (Q1 2026), $1.81 billion (Q4 2025) and $2.02 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 1.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Bn |
| Mar 31, 2026 | 1.85 Bn |
| Dec 31, 2025 | 1.81 Bn |
| Sep 30, 2025 | 2.02 Bn |
| Jun 30, 2025 | 1.79 Bn |
| Mar 31, 2025 | 1.60 Bn |
| Dec 31, 2024 | 2.19 Bn |
| Sep 30, 2024 | 2.29 Bn |
| Jun 30, 2024 | 2.18 Bn |
| Mar 31, 2024 | 2.25 Bn |
| Dec 31, 2023 | 2.39 Bn |
| Sep 30, 2023 | 1.88 Bn |
| Jun 30, 2023 | 1.83 Bn |
| Mar 31, 2023 | 2.26 Bn |
| Dec 31, 2022 | 2.35 Bn |
| Sep 30, 2022 | 2.54 Bn |
| Jun 30, 2022 | 2.47 Bn |
| Mar 31, 2022 | 3.26 Bn |
| Dec 31, 2021 | 2.94 Bn |
| Sep 30, 2021 | 1.02 Bn |
API Access
Globalfoundries Cash & Equivalents 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=cash-and-equivalents&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();