Nvidia (NVDA) Change in Accrued Expenses (2009 - 2026)
Nvidia (NVDA) recorded Change in Accured Expenses of $252 million in fiscal Q2 2027 (quarter ended Jul 26, 2026), compared with -$4.05 billion a year earlier and down 96.8% from the prior quarter.
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Analysis
Nvidia (NVDA) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Nvidia's Change in Accured Expenses came in at $10.2 billion as of Jul 26, 2026, up 152.5% year-over-year; for FY2026 (ended Jan 25, 2026), it was $5.26 billion, up 22.9% from FY2025.
- Annual Change in Accured Expenses has increased for six straight fiscal years, with a five-year compound annual growth rate of 78.5% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $4.28 billion in FY2025 (+111.3%), $2.03 billion in FY2024 (+51.0%), $1.34 billion in FY2023 (+130.8%) and $581 million in FY2022 (+100.3%).
- Quarterly Change in Accured Expenses has ranged from -$4.05 billion in fiscal Q2 2026 to $7.76 billion in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in four of the last five quarters, with growth averaging 58.3%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 545.8% in fiscal Q4 2024, against a decline of 66.4% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.76 billion (Q1 2027), $1.05 billion (Q4 2026) and $1.13 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 1.06 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 252.00 Mn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -619.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 5.38 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 323.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 165.00 Mn |
| 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 |
|---|---|
| Jul 26, 2026 | 252.00 Mn |
| Apr 26, 2026 | 7.76 Bn |
| Jan 25, 2026 | 1.05 Bn |
| Oct 26, 2025 | 1.13 Bn |
| Jul 27, 2025 | -4.05 Bn |
| Apr 27, 2025 | 7.13 Bn |
| Jan 26, 2025 | 360.00 Mn |
| Oct 27, 2024 | 604.00 Mn |
| Jul 28, 2024 | -888.00 Mn |
| Apr 28, 2024 | 4.20 Bn |
| Jan 28, 2024 | 1.07 Bn |
| Oct 29, 2023 | -1.72 Bn |
| Jul 30, 2023 | 1.99 Bn |
| Apr 30, 2023 | 689.00 Mn |
| Jan 29, 2023 | 166.00 Mn |
| Oct 30, 2022 | -92.00 Mn |
| Jul 31, 2022 | 633.00 Mn |
| May 1, 2022 | 634.00 Mn |
| Jan 30, 2022 | 422.00 Mn |
| Oct 31, 2021 | -7.00 Mn |
API Access
Nvidia Change in Accrued 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=change-in-accured-expenses&ticker=NVDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();