Nova (NVMI) Operating Leases (2019 - 2026)
Nova (NVMI) posted Operating Leases of $59.84 million for the quarter ended Jun 30, 2026, up 14.4% from $52.29 million a year earlier and up 3.1% from the prior quarter.
Nova (NVMI) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nova's Operating Leases came in at $59.27 million, up 22.6% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 13.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Nova's Operating Leases was $48.36 million in the year ended Dec 31, 2024 (+21.6%), $39.76 million in the year ended Dec 31, 2023 (-9.0%), $43.7 million in the year ended Dec 31, 2022 (+30.6%) and $33.45 million in the year ended Dec 31, 2021 (+4.8%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Operating Leases in data going back to the quarter ended Mar 31, 2019.
- On a year-over-year basis, Operating Leases has increased in each of the last seven quarters, with growth averaging 24.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Mar 31, 2022, with growth of 53.4%; the weakest was the quarter ended Jun 30, 2024, with a decline of 9.9%.
- According to Business Quant data, Operating Leases for the three prior quarters was $58.03 million (quarter ended Mar 31, 2026), $59.27 million (quarter ended Dec 31, 2025) and $54.92 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn |
| 10 | Nova | 9.62 Bn | 6.78 Bn | 144.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.07 Mn |
| Mar 31, 2026 | 9.51 Mn |
| Dec 31, 2025 | 8.20 Mn |
| Sep 30, 2025 | 7.27 Mn |
| Jun 30, 2025 | 6.97 Mn |
| Mar 31, 2025 | 7.22 Mn |
| Dec 31, 2024 | 7.17 Mn |
| Sep 30, 2024 | 6.44 Mn |
| Jun 30, 2024 | 6.42 Mn |
| Mar 31, 2024 | 6.64 Mn |
| Dec 31, 2023 | 2.49 Mn |
| Sep 30, 2023 | 5.55 Mn |
| Jun 30, 2023 | 5.73 Mn |
| Mar 31, 2023 | 5.97 Mn |
| Dec 31, 2022 | 5.97 Mn |
| Sep 30, 2022 | 6.02 Mn |
| Jun 30, 2022 | 5.73 Mn |
| Mar 31, 2022 | 5.90 Mn |
| Dec 31, 2021 | 4.45 Mn |
| Sep 30, 2021 | 4.15 Mn |
Nova 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=NVMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "NVMI", "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=NVMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();