Globalfoundries (GFS) Shares Outstanding (Diluted) (2019 - 2026)
Globalfoundries' Shares Outstanding (Diluted) came in at 558 million for Q2 2026, up 0.9% from 553 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Globalfoundries (GFS) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
Going back to Q4 2019, Globalfoundries' Shares Outstanding (Diluted) data covers 25 quarters.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 553 million in FY2024 (-0.5%), 556 million in FY2023 (+0.7%), 552 million in FY2022 (+9.1%) and 505.76 million in FY2021 (+1.2%).
- Year-over-year, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2023 (growth of 9.1%), and the weakest in Q3 2021 (a decline of 0.8%).
- Business Quant data shows GFS's Shares Outstanding (Diluted) at 558 million (Q1 2026), 558 million (Q4 2025) and 553 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 24.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 5.19 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 4.89 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 1.15 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 1.66 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 388.90 Mn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 5.10 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 1.26 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 800.00 Mn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 558.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558.00 Mn |
| Mar 31, 2026 | 558.00 Mn |
| Dec 31, 2025 | 558.00 Mn |
| Sep 30, 2025 | 553.00 Mn |
| Jun 30, 2025 | 553.00 Mn |
| Mar 31, 2025 | 553.00 Mn |
| Dec 31, 2024 | 553.00 Mn |
| Sep 30, 2024 | 556.00 Mn |
| Jun 30, 2024 | 556.00 Mn |
| Mar 31, 2024 | 556.00 Mn |
| Dec 31, 2023 | 556.00 Mn |
| Sep 30, 2023 | 552.00 Mn |
| Jun 30, 2023 | 552.00 Mn |
| Mar 31, 2023 | 552.00 Mn |
| Dec 31, 2022 | 552.00 Mn |
| Sep 30, 2022 | 505.76 Mn |
| Jun 30, 2022 | 505.76 Mn |
| Mar 31, 2022 | 505.76 Mn |
| Dec 31, 2021 | 505.76 Mn |
| Sep 30, 2021 | 500.00 Mn |
API Access
Globalfoundries Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();