Semtech (SMTC) EPS (Diluted) (2009 - 2026)
Semtech's EPS (Diluted) was $1.59 in fiscal Q2 2027 (quarter ended Jul 26, 2026), compared with -$0.31 a year earlier.
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Analysis
Semtech (SMTC) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Semtech's EPS (Diluted) was $1.00 through Jul 26, 2026, up 262.1% year-over-year; for FY2026 (ended Jan 25, 2026), it came in at -$0.46.
- In earlier fiscal years, EPS (Diluted) was -$2.26 in FY2025, -$17.03 in FY2024, $0.96 in FY2023 (-50.0%) and $1.92 in FY2022 (+111.4%).
- The fiscal Q2 2027 figure marks the highest quarterly EPS (Diluted) in data going back to fiscal Q2 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,478.79 Bn | 5,252.95 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,307.33 Bn | 1,926.59 Bn | 27.22 Bn | 4.31 |
| 3 | Broadcom | 1,692.26 Bn | 1,618.31 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 1,116.28 Bn | 1,021.92 Bn | 47.05 Bn | 32.98 |
| 5 | Advanced Micro Devices | 970.34 Bn | 927.09 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 680.68 Bn | 636.37 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 517.24 Bn | 386.37 Bn | 6.51 Bn | -2.16 |
| 8 | Applied Materials | 395.12 Bn | 360.56 Bn | 4.59 Bn | 3.17 |
| 9 | Lam Research | 388.55 Bn | 365.34 Bn | 3.48 Bn | 1.81 |
| 10 | Semtech | 15.68 Bn | 14.95 Bn | 183.76 Mn | 1.59 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 1.59 |
| Jan 25, 2026 | -0.34 |
| Oct 26, 2025 | -0.03 |
| Jul 27, 2025 | -0.31 |
| Apr 27, 2025 | 0.22 |
| Jan 26, 2025 | 0.55 |
| Oct 27, 2024 | -0.10 |
| Jul 28, 2024 | -2.61 |
| Apr 28, 2024 | -0.36 |
| Jan 28, 2024 | -10.02 |
| Oct 29, 2023 | -0.60 |
| Jul 30, 2023 | -5.97 |
| Apr 30, 2023 | -0.46 |
| Jan 29, 2023 | -0.80 |
| Oct 30, 2022 | 0.36 |
| Jul 31, 2022 | 0.81 |
| May 1, 2022 | 0.59 |
| Jan 30, 2022 | 0.53 |
| Oct 31, 2021 | 0.53 |
| Aug 1, 2021 | 0.50 |
API Access
Semtech 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=SMTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "SMTC", "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=SMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();