Nvidia (NVDA) Finished Goods (2010 - 2026)
Nvidia (NVDA) posted Finished Goods of $9.2 billion for fiscal Q1 2027 (quarter ended Apr 26, 2026), up 165.2% from $3.47 billion a year earlier and up 4.9% from the prior quarter.
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Analysis
Nvidia (NVDA) Finished Goods (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 25, 2026), Nvidia's Finished Goods came in at $8.77 billion, up 168.1% from FY2025.
- Annual Finished Goods shows a five-year compound annual growth rate of 64.1% (FY2021 to FY2026).
- In prior fiscal years, Nvidia's Finished Goods was $3.27 billion in FY2025 (+59.0%), $2.06 billion in FY2024 (-9.1%), $2.26 billion in FY2023 (+101.7%) and $1.12 billion in FY2022 (+52.2%).
- The fiscal Q1 2027 figure stands as the highest quarterly Finished Goods in data going back to fiscal Q4 2010.
- On a year-over-year basis, Finished Goods has increased in each of the last nine quarters, with growth averaging 116.9% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was fiscal Q2 2026, with growth of 226.3%; the weakest was fiscal Q4 2024, with a decline of 9.1%.
- According to Business Quant data, Finished Goods for the three prior fiscal quarters was $8.77 billion (Q4 2026), $6.84 billion (Q3 2026) and $8.71 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 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 |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn |
| 10 | Arm Holdings | 321.38 Bn | 307.09 Bn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 26, 2026 | 9.20 Bn |
| Jan 25, 2026 | 8.77 Bn |
| Oct 26, 2025 | 6.84 Bn |
| Jul 27, 2025 | 8.71 Bn |
| Apr 27, 2025 | 3.47 Bn |
| Jan 26, 2025 | 3.27 Bn |
| Oct 27, 2024 | 2.93 Bn |
| Jul 28, 2024 | 2.67 Bn |
| Apr 28, 2024 | 2.25 Bn |
| Jan 28, 2024 | 2.06 Bn |
| Oct 29, 2023 | 1.78 Bn |
| Jul 30, 2023 | 1.63 Bn |
| Apr 30, 2023 | 1.87 Bn |
| Jan 29, 2023 | 2.26 Bn |
| Oct 30, 2022 | 1.73 Bn |
| Jul 31, 2022 | 1.59 Bn |
| May 1, 2022 | 1.37 Bn |
| Jan 30, 2022 | 1.12 Bn |
| Oct 31, 2021 | 940.00 Mn |
| Aug 1, 2021 | 736.00 Mn |
API Access
Nvidia Finished Goods 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=finished-goods&ticker=NVDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();