Intel (INTC) Depreciation and Depletion (2009 - 2026)
Intel (INTC) recorded Depreciation and Depletion of $3.04 billion in Q3 2026, up 10.3% from $2.76 billion a year earlier and up 1.8% from the prior quarter.
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Analysis
Intel (INTC) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a TTM basis, Intel's Depreciation and Depletion came in at $11.72 billion as of Sep 26, 2026, up 14.1% year-over-year; for FY2025, it was $10.76 billion, up 8.1% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $9.95 billion in FY2024 (+26.8%), $7.85 billion in FY2023 (-29.5%), $11.13 billion in FY2022 (+11.8%) and $9.95 billion in FY2021 (-5.0%).
- The Q3 2026 figure is the highest quarterly Depreciation and Depletion since Q3 2024.
- On a year-over-year basis, Depreciation and Depletion has increased for four consecutive quarters, with growth averaging 11.2% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 60.8% in Q3 2024, against a decline of 33.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.99 billion (Q2 2026), $2.9 billion (Q1 2026) and $2.79 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 6.81 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 | 171.00 Mn |
| 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 | 3.04 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 | 3.04 Bn |
| Jun 27, 2026 | 2.99 Bn |
| Mar 28, 2026 | 2.90 Bn |
| Dec 27, 2025 | 2.79 Bn |
| Sep 27, 2025 | 2.76 Bn |
| Jun 28, 2025 | 2.79 Bn |
| Mar 29, 2025 | 2.43 Bn |
| Dec 28, 2024 | 2.30 Bn |
| Sep 28, 2024 | 3.25 Bn |
| Jun 29, 2024 | 2.20 Bn |
| Mar 30, 2024 | 2.20 Bn |
| Dec 30, 2023 | 2.09 Bn |
| Sep 30, 2023 | 2.02 Bn |
| Jul 1, 2023 | 1.83 Bn |
| Apr 1, 2023 | 1.90 Bn |
| Dec 31, 2022 | 2.82 Bn |
| Oct 1, 2022 | 2.78 Bn |
| Jul 2, 2022 | 2.68 Bn |
| Apr 2, 2022 | 2.85 Bn |
| Dec 25, 2021 | 2.60 Bn |
API Access
Intel Depreciation and Depletion 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=depreciation-and-depletion&ticker=INTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();