Nvidia (NVDA) Capital Expenditures (2009 - 2026)
Nvidia (NVDA) posted Capital Expenditures of $2.68 billion for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 41.3% from $1.9 billion a year earlier and up 52.4% from the prior quarter.
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Analysis
Nvidia (NVDA) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 26, 2026, Capital Expenditures at Nvidia was $7.35 billion, up 46.7% year-over-year; for FY2026 (ended Jan 25, 2026), it was $6.04 billion, up 86.7% from FY2025.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 39.9% (FY2021 to FY2026).
- In prior fiscal years, Nvidia's Capital Expenditures was $3.24 billion in FY2025 (+202.7%), $1.07 billion in FY2024 (-41.7%), $1.83 billion in FY2023 (+87.8%) and $976 million in FY2022 (-13.5%).
- The fiscal Q2 2027 figure stands as the highest quarterly Capital Expenditures in data going back to fiscal Q4 2009.
- On a year-over-year basis, Capital Expenditures has increased in each of the last ten quarters, with growth averaging 131.0% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q4 2025, with growth of 324.0%; the weakest was fiscal Q3 2022, with a decline of 53.1%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $1.76 billion (Q1 2027), $1.28 billion (Q4 2026) and $1.64 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Arm Holdings | 321.38 Bn | 307.09 Bn | 1.25 Bn | -197.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 2.68 Bn |
| Apr 26, 2026 | 1.76 Bn |
| Jan 25, 2026 | 1.28 Bn |
| Oct 26, 2025 | 1.64 Bn |
| Jul 27, 2025 | 1.90 Bn |
| Apr 27, 2025 | 1.23 Bn |
| Jan 26, 2025 | 1.08 Bn |
| Oct 27, 2024 | 813.00 Mn |
| Jul 28, 2024 | 977.00 Mn |
| Apr 28, 2024 | 369.00 Mn |
| Jan 28, 2024 | 254.00 Mn |
| Oct 29, 2023 | 278.00 Mn |
| Jul 30, 2023 | 289.00 Mn |
| Apr 30, 2023 | 248.00 Mn |
| Jan 29, 2023 | 509.00 Mn |
| Oct 30, 2022 | 530.00 Mn |
| Jul 31, 2022 | 433.00 Mn |
| May 1, 2022 | 361.00 Mn |
| Jan 30, 2022 | 273.00 Mn |
| Oct 31, 2021 | 222.00 Mn |
API Access
Nvidia Capital Expenditures 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=capital-expenditures&ticker=NVDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "NVDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();