Nvidia (NVDA) Change in Inventory (2009 - 2026)
Nvidia (NVDA) posted Change in Inventory of $5.78 billion for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 59.7% from $3.62 billion a year earlier and up 30.9% from the prior quarter.
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Analysis
Nvidia (NVDA) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 26, 2026, Change in Inventory at Nvidia was $16.65 billion, up 101.0% year-over-year; for FY2026 (ended Jan 25, 2026), it was $11.32 billion, up 136.9% from FY2025.
- Annual Change in Inventory shows a five-year compound annual growth rate of 84.9% (FY2021 to FY2026).
- In prior fiscal years, Nvidia's Change in Inventory was $4.78 billion in FY2025, $98 million in FY2024 (-96.2%), $2.55 billion in FY2023 (+230.0%) and $774 million in FY2022 (+47.7%).
- The fiscal Q2 2027 figure stands as the highest quarterly Change in Inventory in data going back to fiscal Q4 2009.
- On a year-over-year basis, Change in Inventory increased in seven of the last eight quarters, with growth averaging 204.6%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q2 2023, with growth of 489.4%; the weakest was fiscal Q4 2026, with a decline of 33.1%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $4.42 billion (Q1 2027), $1.62 billion (Q4 2026) and $4.82 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 5.78 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 | 195.00 Mn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 300.00 Mn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 208.00 Mn |
| 10 | Arm Holdings | 321.38 Bn | 307.09 Bn | 1.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 5.78 Bn |
| Apr 26, 2026 | 4.42 Bn |
| Jan 25, 2026 | 1.62 Bn |
| Oct 26, 2025 | 4.82 Bn |
| Jul 27, 2025 | 3.62 Bn |
| Apr 27, 2025 | 1.26 Bn |
| Jan 26, 2025 | 2.42 Bn |
| Oct 27, 2024 | 977.00 Mn |
| Jul 28, 2024 | 803.00 Mn |
| Apr 28, 2024 | 577.00 Mn |
| Jan 28, 2024 | 503.00 Mn |
| Oct 29, 2023 | 456.00 Mn |
| Jul 30, 2023 | -295.00 Mn |
| Apr 30, 2023 | -566.00 Mn |
| Jan 29, 2023 | 706.00 Mn |
| Oct 30, 2022 | 563.00 Mn |
| Jul 31, 2022 | 725.00 Mn |
| May 1, 2022 | 560.00 Mn |
| Jan 30, 2022 | 374.00 Mn |
| Oct 31, 2021 | 118.00 Mn |
API Access
Nvidia Change in Inventory 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=change-in-inventory&ticker=NVDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();