Globalfoundries (GFS) Intangibles (2019 - 2023)
Globalfoundries (GFS) reported Intangibles of $46 million for Q3 2023, down 53.5% from $99 million a year earlier and down 19.3% from the prior quarter.
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Analysis
Globalfoundries (GFS) Intangibles (2019 - 2023) Analysis & Trends
At the end of FY2020, Globalfoundries posted Intangibles of $159 million.
- By year, Intangibles came in at $10.24 million in FY2019.
- The Q3 2023 figure ranks as the lowest quarterly Intangibles since Q4 2019.
- Year over year, Intangibles has now declined in each of the last three quarters, with an average decline of 31.5% over the last six quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 761.69 Mn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 473.00 Mn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 628.70 Mn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 2.55 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 | 315.00 Mn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 46.00 Mn |
| Jun 30, 2023 | 57.00 Mn |
| Mar 31, 2023 | 64.00 Mn |
| Sep 30, 2022 | 99.00 Mn |
| Jun 30, 2022 | 106.00 Mn |
| Mar 31, 2022 | 114.00 Mn |
| Sep 30, 2021 | 118.00 Mn |
| Jun 30, 2021 | 122.00 Mn |
| Mar 31, 2021 | 136.00 Mn |
| Dec 31, 2020 | 159.00 Mn |
| Dec 31, 2019 | 10.24 Mn |
API Access
Globalfoundries Intangibles 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=intangibles&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();