Globalfoundries (GFS) Cost of Revenue (2020 - 2026)
Globalfoundries (GFS) reported Cost of Revenue of $1.28 billion for Q2 2026, up 0.1% from $1.28 billion a year earlier and up 8.3% from the prior quarter.
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Analysis
Globalfoundries (GFS) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Globalfoundries' Cost of Revenue came in at $5.06 billion, down 3.1% year-over-year; for FY2025, it came in at $5.1 billion, unchanged from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $5.1 billion in FY2024 (-3.6%), $5.29 billion in FY2023 (-9.8%), $5.87 billion in FY2022 (+5.3%) and $5.57 billion in FY2021 (+0.2%).
- Five-year quarterly Cost of Revenue spans a low of $1.16 billion in Q1 2024 and a high of $1.48 billion in Q4 2022.
- Year over year, Cost of Revenue gained in five of the last eight quarters, with growth averaging 0.2%.
- The high point for year-over-year Cost of Revenue in five years was Q4 2021 (growth of 14.3%); the low point was Q1 2024 (a decline of 12.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.18 billion (Q1 2026), $1.32 billion (Q4 2025) and $1.27 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 6.40 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 5.41 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.32 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.28 Bn |
| Mar 31, 2025 | 1.23 Bn |
| Dec 31, 2024 | 1.38 Bn |
| Sep 30, 2024 | 1.33 Bn |
| Jun 30, 2024 | 1.24 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 1.33 Bn |
| Sep 30, 2023 | 1.32 Bn |
| Jun 30, 2023 | 1.31 Bn |
| Mar 31, 2023 | 1.33 Bn |
| Dec 31, 2022 | 1.48 Bn |
| Sep 30, 2022 | 1.46 Bn |
| Jun 30, 2022 | 1.46 Bn |
| Mar 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | 1.46 Bn |
| Sep 30, 2021 | 1.40 Bn |
API Access
Globalfoundries Cost of Revenue 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=cost-of-revenue&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();