Nvidia (NVDA) Other Accumulated Expenses (2010 - 2019)
Nvidia's Other Accumulated Expenses came in at $38.16 million for fiscal Q2 2012 (quarter ended Jul 31, 2011), down 5.8% from $40.5 million a year earlier but up 46.3% from the prior quarter.
Nvidia (NVDA) Other Accumulated Expenses (2010 - 2019) Analysis & Trends
At the end of FY2011 (ended Jan 30, 2011), Nvidia's Other Accumulated Expenses was $21.53 million, down 23.6% from FY2010.
- Going back by fiscal year, Other Accumulated Expenses was $28.17 million in FY2010.
- The five-year range for quarterly Other Accumulated Expenses is $21.53 million (fiscal Q4 2011) to $40.5 million (fiscal Q2 2011).
- Business Quant data shows NVDA's Other Accumulated Expenses at $26.08 million (Q1 2012), $21.53 million (Q4 2011) and $34.61 million (Q3 2011) in the three fiscal quarters before Q2 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 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
| Date | Value |
|---|---|
| Jan 27, 2019 | 10.00 Mn |
| Jan 28, 2018 | 17.00 Mn |
| Jan 29, 2017 | 7.00 Mn |
| Jan 31, 2016 | 1.00 Mn |
| Jan 25, 2015 | 112.17 Mn |
| Jan 26, 2014 | 30.60 Mn |
| Jan 27, 2013 | 30.60 Mn |
| Jan 29, 2012 | 35.44 Mn |
| Jul 31, 2011 | 38.16 Mn |
| May 1, 2011 | 26.08 Mn |
| Jan 30, 2011 | 21.53 Mn |
| Oct 31, 2010 | 34.61 Mn |
| Aug 1, 2010 | 40.50 Mn |
| Jan 31, 2010 | 28.17 Mn |
Nvidia Other 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=other-accumulated-expenses&ticker=NVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();