Nova (NVMI) Price to Sales (2009 - 2026)
Nova's Price to Sales came in at 18.41 for the quarter ended Jun 30, 2026, up 84.4% from 9.98 a year earlier and up 20.4% from the prior quarter.
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Analysis
Nova (NVMI) Price to Sales (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Nova's Price to Sales was 11.85, up 38.2% from the prior year.
- Price to Sales has increased in each of the last three years.
- Going back by year, Price to Sales was 8.58 in the year ended Dec 31, 2024 (+11.4%), 7.70 in the year ended Dec 31, 2023 (+87.5%), 4.10 in the year ended Dec 31, 2022 (-59.2%) and 10.06 in the year ended Dec 31, 2021 (+36.3%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Price to Sales in data going back to the quarter ended Dec 31, 2009.
- Year-over-year, Price to Sales has increased for four consecutive quarters, with growth averaging 34.6% over the last eight quarters.
- The fastest year-over-year change in Price to Sales over five years came in the quarter ended Mar 31, 2026 (growth of 110.8%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 59.2%).
- Business Quant data shows NVMI's Price to Sales at 15.29 (quarter ended Mar 31, 2026), 11.85 (quarter ended Dec 31, 2025) and 10.98 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn |
| 10 | Nova | 9.86 Bn | 7.02 Bn | 144.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.41 |
| Mar 31, 2026 | 15.29 |
| Dec 31, 2025 | 11.85 |
| Sep 30, 2025 | 10.98 |
| Jun 30, 2025 | 9.98 |
| Mar 31, 2025 | 7.25 |
| Dec 31, 2024 | 8.58 |
| Sep 30, 2024 | 9.88 |
| Jun 30, 2024 | 12.11 |
| Mar 31, 2024 | 9.76 |
| Dec 31, 2023 | 7.70 |
| Sep 30, 2023 | 6.03 |
| Jun 30, 2023 | 6.12 |
| Mar 31, 2023 | 5.27 |
| Dec 31, 2022 | 4.10 |
| Sep 30, 2022 | 4.51 |
| Jun 30, 2022 | 4.96 |
| Mar 31, 2022 | 6.68 |
| Dec 31, 2021 | 10.06 |
| Sep 30, 2021 | 7.77 |
API Access
Nova Price to Sales 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=price-to-sales&ticker=NVMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=NVMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();