Nvidia (NVDA) EPS (Diluted) (2009 - 2026)
Nvidia (NVDA) reported EPS (Diluted) of $2.46 for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 128.2% from $1.08 a year earlier and up 2.8% from the prior quarter.
Nvidia (NVDA) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 26, 2026, Nvidia's EPS (Diluted) came in at $7.94, up 125.0% year-over-year; for FY2026 (ended Jan 25, 2026), it was $4.90, up 66.7% from FY2025.
- EPS (Diluted) has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 95.3% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $2.94 in FY2025 (+146.2%), $1.19 in FY2024 (+584.9%), $0.17 in FY2023 (-54.7%) and $0.38 in FY2022 (+123.1%).
- The fiscal Q2 2027 figure ranks as the highest quarterly EPS (Diluted) in data going back to fiscal Q4 2009.
- Year over year, EPS (Diluted) has now increased in each of the last 11 quarters, with growth averaging 98.2% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was fiscal Q2 2024 (growth of 849.7%); the low point was fiscal Q2 2023 (a decline of 72.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $2.39 (Q1 2027), $1.75 (Q4 2026) and $1.30 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 4.42 |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 24.67 |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -2.16 |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.81 |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.17 |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | 0.25 |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 2.46 |
| Apr 26, 2026 | 2.39 |
| Jan 25, 2026 | 1.75 |
| Oct 26, 2025 | 1.30 |
| Jul 27, 2025 | 1.08 |
| Apr 27, 2025 | 0.76 |
| Jan 26, 2025 | 0.89 |
| Oct 27, 2024 | 0.78 |
| Jul 28, 2024 | 0.67 |
| Apr 28, 2024 | 0.60 |
| Jan 28, 2024 | 0.49 |
| Oct 29, 2023 | 0.37 |
| Jul 30, 2023 | 0.25 |
| Apr 30, 2023 | 0.08 |
| Jan 29, 2023 | 0.06 |
| Oct 30, 2022 | 0.03 |
| Jul 31, 2022 | 0.03 |
| May 1, 2022 | 0.06 |
| Jan 30, 2022 | 0.12 |
| Oct 31, 2021 | 0.10 |
Nvidia EPS (Diluted) 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-diluted&ticker=NVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();