Super Micro Computer (SMCI) EPS (Diluted) (2010 - 2026)
Super Micro Computer (SMCI) reported EPS (Diluted) of $1.69 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 444.0% from $0.31 a year earlier and up 141.9% from the prior quarter.
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Analysis
Super Micro Computer (SMCI) EPS (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer posted EPS (Diluted) of $3.20, up 91.6% from FY2025.
- EPS (Diluted) has a five-year compound annual growth rate of 72.6% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $1.67 in FY2025 (-12.8%), $1.91 in FY2024 (+67.4%), $1.14 in FY2023 (+115.0%) and $0.53 in FY2022 (+154.4%).
- The fiscal Q4 2026 figure ranks as the highest quarterly EPS (Diluted) in data going back to fiscal Q1 2011.
- Year over year, EPS (Diluted) has now increased in each of the last three quarters, with growth averaging 90.8% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was fiscal Q1 2023 (growth of 597.3%); the low point was fiscal Q3 2025 (a decline of 73.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $0.70 (Q3 2026), $0.58 (Q2 2026) and $0.25 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,973.70 Bn | 4,721.19 Bn | 54.77 Bn | 2.02 |
| 2 | Cisco Systems | 421.27 Bn | 357.20 Bn | 11.06 Bn | 0.97 |
| 3 | Dell Technologies | 297.70 Bn | 253.45 Bn | 9.83 Bn | 6.34 |
| 4 | Arista Networks | 229.14 Bn | 182.59 Bn | 1.91 Bn | 0.95 |
| 5 | Sandisk | 200.83 Bn | 189.36 Bn | 7.58 Bn | 44.54 |
| 6 | Sony | 150.33 Bn | 87.59 Bn | 6.53 Bn | 0.36 |
| 7 | Seagate Technology Holdings | 147.86 Bn | 142.86 Bn | 1.90 Bn | 5.65 |
| 8 | Western Digital | 125.50 Bn | 113.63 Bn | 2.03 Bn | 8.34 |
| 9 | Hewlett Packard Enterprise | 74.88 Bn | 52.76 Bn | 4.93 Bn | 1.06 |
| 10 | Super Micro Computer | 19.54 Bn | 2.44 Bn | 1.94 Bn | 1.69 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.69 |
| Mar 31, 2026 | 0.70 |
| Dec 31, 2025 | 0.58 |
| Sep 30, 2025 | 0.25 |
| Jun 30, 2025 | 0.31 |
| Mar 31, 2025 | 0.17 |
| Dec 31, 2024 | 0.50 |
| Sep 30, 2024 | 0.66 |
| Jun 30, 2024 | 0.49 |
| Mar 31, 2024 | 0.66 |
| Dec 31, 2023 | 0.51 |
| Sep 30, 2023 | 0.27 |
| Jun 30, 2023 | 0.35 |
| Mar 31, 2023 | 0.15 |
| Dec 31, 2022 | 0.31 |
| Sep 30, 2022 | 0.34 |
| Jun 30, 2022 | 0.26 |
| Mar 31, 2022 | 0.14 |
| Dec 31, 2021 | 0.08 |
| Sep 30, 2021 | 0.05 |
API Access
Super Micro Computer 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=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "SMCI", "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=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();