Intel (INTC) Cash & Equivalents (2009 - 2026)
Intel (INTC) recorded Cash & Equivalents of $21.85 billion in Q3 2026, up 96.1% from $11.14 billion a year earlier and up 69.7% from the prior quarter.
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Analysis
Intel (INTC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Intel reported Cash & Equivalents of $14.27 billion, up 72.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $8.25 billion in FY2024 (+16.5%), $7.08 billion in FY2023 (-36.5%), $11.14 billion in FY2022 (+130.9%) and $4.83 billion in FY2021 (-17.7%).
- The Q3 2026 figure is the highest quarterly Cash & Equivalents in data going back to Q1 2009.
- On a year-over-year basis, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 44.2% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 130.9% in Q4 2022, against a decline of 42.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.87 billion (Q2 2026), $17.25 billion (Q1 2026) and $14.27 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 17.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 22.44 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 23.98 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 7.40 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 38.36 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 15.17 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 21.85 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 7.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 21.85 Bn |
| Jun 27, 2026 | 12.87 Bn |
| Mar 28, 2026 | 17.25 Bn |
| Dec 27, 2025 | 14.27 Bn |
| Sep 27, 2025 | 11.14 Bn |
| Jun 28, 2025 | 9.64 Bn |
| Mar 29, 2025 | 8.95 Bn |
| Dec 28, 2024 | 8.25 Bn |
| Sep 28, 2024 | 8.79 Bn |
| Jun 29, 2024 | 11.29 Bn |
| Mar 30, 2024 | 6.92 Bn |
| Dec 30, 2023 | 7.08 Bn |
| Sep 30, 2023 | 7.62 Bn |
| Jul 1, 2023 | 8.35 Bn |
| Apr 1, 2023 | 8.23 Bn |
| Dec 31, 2022 | 11.14 Bn |
| Oct 1, 2022 | 4.53 Bn |
| Jul 2, 2022 | 4.39 Bn |
| Apr 2, 2022 | 6.22 Bn |
| Dec 25, 2021 | 4.83 Bn |
API Access
Intel Cash & Equivalents 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=cash-and-equivalents&ticker=INTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "INTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();