Intel (INTC) Other Accumulated Expenses (2009 - 2026)
Intel (INTC) recorded Other Accumulated Expenses of $20.84 billion in Q3 2026, up 39.4% from $14.95 billion a year earlier but down 1.6% from the prior quarter.
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Analysis
Intel (INTC) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Intel reported Other Accumulated Expenses of $15.2 billion, up 6.5% from FY2024.
- Annual Other Accumulated Expenses has increased for four straight years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $14.28 billion in FY2024 (+14.9%), $12.43 billion in FY2023 (+4.8%), $11.86 billion in FY2022 (+3.0%) and $11.51 billion in FY2021 (-9.1%).
- Quarterly Other Accumulated Expenses has ranged from $10.66 billion in Q2 2023 to $21.18 billion in Q2 2026 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for five consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 70.3% in Q2 2026, against a decline of 24.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.18 billion (Q2 2026), $14.9 billion (Q1 2026) and $15.2 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 20.84 Bn |
| Jun 27, 2026 | 21.18 Bn |
| Mar 28, 2026 | 14.90 Bn |
| Dec 27, 2025 | 15.20 Bn |
| Sep 27, 2025 | 14.95 Bn |
| Jun 28, 2025 | 12.43 Bn |
| Mar 29, 2025 | 11.51 Bn |
| Dec 28, 2024 | 14.28 Bn |
| Sep 28, 2024 | 12.87 Bn |
| Jun 29, 2024 | 13.21 Bn |
| Mar 30, 2024 | 11.22 Bn |
| Dec 30, 2023 | 12.43 Bn |
| Sep 30, 2023 | 12.43 Bn |
| Jul 1, 2023 | 10.66 Bn |
| Apr 1, 2023 | 11.33 Bn |
| Dec 31, 2022 | 11.86 Bn |
| Oct 1, 2022 | 14.98 Bn |
| Jul 2, 2022 | 13.66 Bn |
| Apr 2, 2022 | 14.92 Bn |
| Dec 25, 2021 | 11.51 Bn |
API Access
Intel Other Accumulated Expenses 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=other-accumulated-expenses&ticker=INTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();