Globalfoundries (GFS) Net Debt Issuances and Repayments (2020 - 2026)
Globalfoundries (GFS) recorded Net Debt Issuances and Repayments of $21 million in Q3 2026, down 30.0% from $30 million a year earlier and down 53.3% from the prior quarter.
Globalfoundries (GFS) Net Debt Issuances and Repayments (2020 - 2026) Analysis & Trends
On a TTM basis, Globalfoundries' Net Debt Issuances and Repayments came in at $88 million as of Sep 30, 2026, down 89.2% year-over-year; for FY2025, it came in at $40 million, down 35.5% from FY2024.
- Annual Net Debt Issuances and Repayments has a three-year compound annual growth rate of -65.5% (FY2022 to FY2025).
- Across earlier years, Net Debt Issuances and Repayments came in at $62 million in FY2024, -$213 million in FY2023 and $971 million in FY2022.
- Quarterly Net Debt Issuances and Repayments has ranged from -$306 million in Q4 2023 to $733 million in Q1 2025 over the past five years.
- On a year-over-year basis, Net Debt Issuances and Repayments has declined for five consecutive quarters, with an average decline of 48.6% over the last five quarters.
- Peak year-over-year performance for Net Debt Issuances and Repayments in the last five years was growth of 15.3% in Q3 2024, against a decline of 97.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $45 million (Q2 2026), $20 million (Q1 2026) and $2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 590.43 Mn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | -5.63 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | -663.00 Mn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 3.85 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | -119.00 Mn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 99.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | -500.00 Mn |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | 21.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.00 Mn |
| Jun 30, 2026 | 45.00 Mn |
| Mar 31, 2026 | 20.00 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 30.00 Mn |
| Jun 30, 2025 | 50.00 Mn |
| Mar 31, 2025 | 733.00 Mn |
| Dec 31, 2024 | 4.00 Mn |
| Sep 30, 2024 | 68.00 Mn |
| Dec 31, 2023 | -306.00 Mn |
| Sep 30, 2023 | 59.00 Mn |
| Mar 31, 2023 | 88.00 Mn |
| Dec 31, 2022 | 614.00 Mn |
| Sep 30, 2022 | 264.00 Mn |
| Jun 30, 2022 | 353.00 Mn |
| Mar 31, 2022 | 214.00 Mn |
| Dec 31, 2021 | -72.00 Mn |
| Sep 30, 2021 | -87.00 Mn |
| Jun 30, 2021 | -108.00 Mn |
| Mar 31, 2021 | -126.00 Mn |
Globalfoundries Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();