Nova (NVMI) EPS (Basic) (2009 - 2026)
Nova (NVMI) posted EPS (Basic) of $2.49 for the quarter ended Jun 30, 2026, up 6.2% from $2.35 a year earlier and up 8.3% from the prior quarter.
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Analysis
Nova (NVMI) EPS (Basic) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at Nova was $8.98, up 11.3% year-over-year; for the year ended Dec 31, 2025, it was $8.61, up 36.4% from the prior year.
- Annual EPS (Basic) shows a five-year compound annual growth rate of 38.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Nova's EPS (Basic) was $6.31 in the year ended Dec 31, 2024 (+33.5%), $4.73 in the year ended Dec 31, 2023 (-3.2%), $4.89 in the year ended Dec 31, 2022 (+48.9%) and $3.28 in the year ended Dec 31, 2021 (+92.5%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EPS (Basic) in data going back to the quarter ended Dec 31, 2009.
- On a year-over-year basis, EPS (Basic) has increased in each of the last 11 quarters, with growth averaging 32.4% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Basic) in the past five years was the quarter ended Sep 30, 2021, with growth of 116.7%; the weakest was the quarter ended Jun 30, 2023, with a decline of 15.2%.
- According to Business Quant data, EPS (Basic) for the three prior quarters was $2.30 (quarter ended Mar 31, 2026), $2.15 (quarter ended Dec 31, 2025) and $2.11 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,242.09 Bn | 5,016.25 Bn | 72.14 Bn | 2.47 |
| 2 | Taiwan Semiconductor Manufacturing | 2,215.42 Bn | 1,840.28 Bn | 27.22 Bn | 4.31 |
| 3 | Broadcom | 1,598.83 Bn | 1,524.87 Bn | 20.46 Bn | 2.75 |
| 4 | Micron Technology | 1,021.35 Bn | 926.99 Bn | 47.05 Bn | 33.45 |
| 5 | Advanced Micro Devices | 881.90 Bn | 838.65 Bn | 6.20 Bn | 1.41 |
| 6 | Asml Holding | 633.65 Bn | 589.34 Bn | 5.90 Bn | 8.51 |
| 7 | Intel | 471.25 Bn | 340.39 Bn | 6.51 Bn | -2.16 |
| 8 | Lam Research | 333.23 Bn | 310.03 Bn | 3.48 Bn | 1.81 |
| 9 | Applied Materials | 322.55 Bn | 288.00 Bn | 4.59 Bn | 3.20 |
| 10 | Nova | 9.71 Bn | 6.88 Bn | 144.16 Mn | 2.49 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.49 |
| Mar 31, 2026 | 2.30 |
| Dec 31, 2025 | 2.15 |
| Sep 30, 2025 | 2.11 |
| Jun 30, 2025 | 2.35 |
| Mar 31, 2025 | 2.23 |
| Dec 31, 2024 | 1.73 |
| Sep 30, 2024 | 1.78 |
| Jun 30, 2024 | 1.57 |
| Mar 31, 2024 | 1.28 |
| Dec 31, 2023 | 1.32 |
| Sep 30, 2023 | 1.17 |
| Jun 30, 2023 | 1.04 |
| Mar 31, 2023 | 1.21 |
| Dec 31, 2022 | 1.26 |
| Sep 30, 2022 | 1.24 |
| Jun 30, 2022 | 1.23 |
| Mar 31, 2022 | 1.20 |
| Dec 31, 2021 | 0.78 |
| Sep 30, 2021 | 1.08 |
API Access
Nova EPS (Basic) 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=eps-basic&ticker=NVMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=NVMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();