Globalfoundries (GFS) Cash & Equivalents (2019 - 2026)
Globalfoundries (GFS) posted Cash & Equivalents of $997 million for Q3 2026, down 50.5% from $2.02 billion a year earlier and down 8.3% 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 shows 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 (+1.5%), $2.35 billion in FY2022 (-20.0%) and $2.94 billion in FY2021 (+223.7%).
- The Q3 2026 figure stands as the lowest quarterly Cash & Equivalents since Q2 2021.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last eight quarters, with an average decline of 19.8%.
- 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 Q3 2026, with a decline of 50.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.09 billion (Q2 2026), $1.85 billion (Q1 2026) and $1.81 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 7.40 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 21.85 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 4.21 Bn |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | 997.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 997.00 Mn |
| 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 |
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();