Nvidia (NVDA) Operating Leases (2019 - 2026)
Nvidia (NVDA) posted Operating Leases of $4.99 billion for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 172.3% from $1.83 billion a year earlier and up 28.5% from the prior quarter.
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Analysis
Nvidia (NVDA) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 25, 2026), Nvidia's Operating Leases came in at $2.57 billion, up 69.3% from FY2025.
- Annual Operating Leases has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 32.3% (FY2021 to FY2026).
- In prior fiscal years, Nvidia's Operating Leases was $1.52 billion in FY2025 (+35.7%), $1.12 billion in FY2024 (+24.1%), $902 million in FY2023 (+21.7%) and $741 million in FY2022 (+16.9%).
- The fiscal Q2 2027 figure stands as the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has increased in each of the last 26 quarters, with growth averaging 70.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Leases ran from 3.8% in fiscal Q2 2023 to 172.3% in fiscal Q2 2027.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $3.88 billion (Q1 2027), $2.57 billion (Q4 2026) and $2.01 billion (Q3 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 4.99 Bn |
| Apr 26, 2026 | 3.88 Bn |
| Jan 25, 2026 | 2.57 Bn |
| Oct 26, 2025 | 2.01 Bn |
| Jul 27, 2025 | 1.83 Bn |
| Apr 27, 2025 | 1.52 Bn |
| Jan 26, 2025 | 1.52 Bn |
| Oct 27, 2024 | 1.49 Bn |
| Jul 28, 2024 | 1.30 Bn |
| Apr 28, 2024 | 1.28 Bn |
| Jan 28, 2024 | 1.12 Bn |
| Oct 29, 2023 | 1.09 Bn |
| Jul 30, 2023 | 1.04 Bn |
| Apr 30, 2023 | 939.00 Mn |
| Jan 29, 2023 | 902.00 Mn |
| Oct 30, 2022 | 798.00 Mn |
| Jul 31, 2022 | 743.00 Mn |
| May 1, 2022 | 752.00 Mn |
| Jan 30, 2022 | 741.00 Mn |
| Oct 31, 2021 | 743.00 Mn |
API Access
Nvidia Operating 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=operating-leases&ticker=NVDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-leases&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();