Nvidia (NVDA) Capital Leases (2009 - 2017)
Nvidia (NVDA) reported Capital Leases of $1 million for fiscal Q3 2018 (quarter ended Oct 29, 2017), down 85.7% from $7 million a year earlier and down 66.7% from the prior quarter.
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Analysis
Nvidia (NVDA) Capital Leases (2009 - 2017) Analysis & Trends
At the end of FY2017 (ended Jan 29, 2017), Nvidia posted Capital Leases of $6 million, down 40.0% from FY2016.
- Capital Leases has declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -22.5% (FY2012 to FY2017).
- By fiscal year, Capital Leases came in at $10 million in FY2016 (-28.6%), $14 million in FY2015 (-20.0%), $17.5 million in FY2014 (-7.9%) and $19 million in FY2013 (-11.4%).
- The fiscal Q3 2018 figure ranks as the lowest quarterly Capital Leases in data going back to fiscal Q4 2009.
- Year over year, Capital Leases has now declined in each of the last 30 quarters, with an average decline of 46.6% over the last eight quarters.
- Across the past five years, year-over-year decline in Capital Leases ran from 7.9% in fiscal Q4 2014 to 85.7% in fiscal Q3 2018.
- Per Business Quant data, the three fiscal quarters before Q3 2018 came in at $3 million (Q2 2018), $4 million (Q1 2018) and $6 million (Q4 2017).
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 |
|---|---|
| Oct 29, 2017 | 1.00 Mn |
| Jul 30, 2017 | 3.00 Mn |
| Apr 30, 2017 | 4.00 Mn |
| Jan 29, 2017 | 6.00 Mn |
| Oct 30, 2016 | 7.00 Mn |
| Jul 31, 2016 | 8.00 Mn |
| May 1, 2016 | 9.00 Mn |
| Jan 31, 2016 | 10.00 Mn |
| Oct 25, 2015 | 11.00 Mn |
| Jul 26, 2015 | 12.00 Mn |
| Apr 26, 2015 | 13.00 Mn |
| Jan 25, 2015 | 14.00 Mn |
| Oct 26, 2014 | 14.98 Mn |
| Jul 27, 2014 | 15.84 Mn |
| Apr 27, 2014 | 16.68 Mn |
| Jan 26, 2014 | 17.50 Mn |
| Oct 27, 2013 | 17.02 Mn |
| Jul 28, 2013 | 17.69 Mn |
| Apr 28, 2013 | 18.33 Mn |
| Jan 27, 2013 | 19.00 Mn |
API Access
Nvidia Capital Leases 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=capital-leases&ticker=NVDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-leases", "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=capital-leases&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();