Nvidia (NVDA) Accumulated Expenses (2009 - 2026)
Nvidia (NVDA) posted Accumulated Expenses of $26.96 billion for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 77.5% from $15.19 billion a year earlier but down 9.5% from the prior quarter.
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Analysis
Nvidia (NVDA) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 25, 2026), Nvidia's Accumulated Expenses came in at $21.35 billion, up 81.9% from FY2025.
- Annual Accumulated Expenses has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 64.4% (FY2021 to FY2026).
- In prior fiscal years, Nvidia's Accumulated Expenses was $11.74 billion in FY2025 (+75.7%), $6.68 billion in FY2024 (+62.2%), $4.12 billion in FY2023 (+61.4%) and $2.55 billion in FY2022 (+43.6%).
- Quarterly Accumulated Expenses has run from a low of $1.95 billion in fiscal Q3 2022 to a high of $29.79 billion in fiscal Q1 2027 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 35 quarters, with growth averaging 69.9% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 23.8% (fiscal Q3 2022) and 131.2% (fiscal Q1 2025) over the last five years.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $29.79 billion (Q1 2027), $21.35 billion (Q4 2026) and $16.45 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 26.96 Bn |
| Apr 26, 2026 | 29.79 Bn |
| Jan 25, 2026 | 21.35 Bn |
| Oct 26, 2025 | 16.45 Bn |
| Jul 27, 2025 | 15.19 Bn |
| Apr 27, 2025 | 19.21 Bn |
| Jan 26, 2025 | 11.74 Bn |
| Oct 27, 2024 | 11.13 Bn |
| Jul 28, 2024 | 10.29 Bn |
| Apr 28, 2024 | 11.26 Bn |
| Jan 28, 2024 | 6.68 Bn |
| Oct 29, 2023 | 5.47 Bn |
| Jul 30, 2023 | 7.16 Bn |
| Apr 30, 2023 | 4.87 Bn |
| Jan 29, 2023 | 4.12 Bn |
| Oct 30, 2022 | 4.12 Bn |
| Jul 31, 2022 | 3.90 Bn |
| May 1, 2022 | 3.56 Bn |
| Jan 30, 2022 | 2.55 Bn |
| Oct 31, 2021 | 1.95 Bn |
API Access
Nvidia 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=accumulated-expenses&ticker=NVDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();