Globalfoundries (GFS) Short term Debt (2020 - 2026)
Globalfoundries' Short term Debt came in at $98 million for Q2 2026, up 63.3% from $60 million a year earlier and up 16.7% from the prior quarter.
Analysis
Globalfoundries (GFS) Short term Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Globalfoundries' Short term Debt was $86 million, down 88.6% from FY2024.
- Short term Debt carries a five-year compound annual growth rate of -61.9% (FY2020 to FY2025).
- Going back by year, Short term Debt was $753 million in FY2024 (+31.9%), $571 million in FY2023 (+156.1%), $223 million in FY2022 (-24.9%) and $297 million in FY2021 (-97.2%).
- The Q2 2026 figure represents the highest quarterly Short term Debt since Q4 2024.
- Year-over-year, Short term Debt increased in four of the last eight quarters, with an average decline of 5.1%.
- The fastest year-over-year change in Short term Debt over five years came in Q3 2024 (growth of 171.9%), and the weakest in Q4 2021 (a decline of 97.2%).
- Business Quant data shows GFS's Short term Debt at $84 million (Q1 2026), $86 million (Q4 2025) and $62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.00 Mn |
| Mar 31, 2026 | 84.00 Mn |
| Dec 31, 2025 | 86.00 Mn |
| Sep 30, 2025 | 62.00 Mn |
| Jun 30, 2025 | 60.00 Mn |
| Mar 31, 2025 | 57.00 Mn |
| Dec 31, 2024 | 753.00 Mn |
| Sep 30, 2024 | 541.00 Mn |
| Jun 30, 2024 | 534.00 Mn |
| Mar 31, 2024 | 542.00 Mn |
| Dec 31, 2023 | 571.00 Mn |
| Sep 30, 2023 | 199.00 Mn |
| Jun 30, 2023 | 221.00 Mn |
| Mar 31, 2023 | 205.00 Mn |
| Dec 31, 2022 | 223.00 Mn |
| Sep 30, 2022 | 244.00 Mn |
| Jun 30, 2022 | 262.00 Mn |
| Mar 31, 2022 | 281.00 Mn |
| Dec 31, 2021 | 297.00 Mn |
| Sep 30, 2021 | 371.00 Mn |
API Access
Globalfoundries Short term Debt 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=short-term-debt&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();