Intel (INTC) Cash & Equivalents (2009 - 2026)
Intel (INTC) recorded Cash & Equivalents of $12.87 billion in Q2 2026, up 33.5% from $9.64 billion a year earlier but down 25.4% from the prior quarter.
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%).
- Quarterly Cash & Equivalents has ranged from $4.39 billion in Q2 2022 to $17.25 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 34.1% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 134.5% in Q3 2021, against a decline of 42.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.25 billion (Q1 2026), $14.27 billion (Q4 2025) and $11.14 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | 3.06 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 25, 2021 | 7.87 Bn |
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_KEY
import 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();