Nova (NVMI) Price to Earnings (2009 - 2026)
Nova's (NVMI) Price to Earnings was 63.82 for the quarter ended Jun 30, 2026, up 86.0% from 34.31 a year earlier and up 21.9% from the prior quarter.
Powered by 
Analysis
Nova (NVMI) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Nova was 40.26, up 28.3% from the prior year.
- Price to Earnings has increased for three consecutive years.
- By year, Price to Earnings came in at 31.38 in the year ended Dec 31, 2024 (+7.3%), 29.24 in the year ended Dec 31, 2023 (+75.0%), 16.71 in the year ended Dec 31, 2022 (-62.9%) and 44.97 in the year ended Dec 31, 2021 (+8.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Price to Earnings in data going back to the quarter ended Dec 31, 2009.
- Year over year, Price to Earnings has now increased in each of the last four quarters, with growth averaging 28.5% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was the quarter ended Mar 31, 2026 (growth of 105.4%); the low point was the quarter ended Dec 31, 2022 (a decline of 62.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 52.35 (quarter ended Mar 31, 2026), 40.26 (quarter ended Dec 31, 2025) and 38.20 (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.82 |
| Mar 31, 2026 | 52.35 |
| Dec 31, 2025 | 40.26 |
| Sep 30, 2025 | 38.20 |
| Jun 30, 2025 | 34.31 |
| Mar 31, 2025 | 25.49 |
| Dec 31, 2024 | 31.38 |
| Sep 30, 2024 | 35.28 |
| Jun 30, 2024 | 44.26 |
| Mar 31, 2024 | 37.15 |
| Dec 31, 2023 | 29.24 |
| Sep 30, 2023 | 24.00 |
| Jun 30, 2023 | 24.79 |
| Mar 31, 2023 | 21.30 |
| Dec 31, 2022 | 16.71 |
| Sep 30, 2022 | 19.30 |
| Jun 30, 2022 | 20.81 |
| Mar 31, 2022 | 28.38 |
| Dec 31, 2021 | 44.97 |
| Sep 30, 2021 | 34.10 |
API Access
Nova Price to Earnings 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-earnings&ticker=NVMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=NVMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();