Semtech (SMTC) EV to EBIT (2010 - 2026)
Semtech's (SMTC) EV to EBIT was 220.50 for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 192.2% from 75.45 a year earlier.
Semtech (SMTC) EV to EBIT (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 26, 2026, Semtech's EV to EBIT came in at 210.41, up 209.9% year-over-year; for FY2026 (ended Jan 25, 2026), it was 223.14, up 119.5% from FY2025.
- By fiscal year, EV to EBIT came in at 101.67 in FY2025, 20.28 in FY2023 (-27.7%) and 28.05 in FY2022 (-51.7%).
- Five-year quarterly EV to EBIT spans a low of 6.09 in fiscal Q3 2023 and a high of 223.14 in fiscal Q4 2026.
- The high point for year-over-year EV to EBIT in five years was fiscal Q2 2027 (growth of 192.2%); the low point was fiscal Q3 2023 (a decline of 85.8%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,478.79 Bn | 5,252.95 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,307.33 Bn | 1,926.59 Bn | 27.22 Bn |
| 3 | Broadcom | 1,692.26 Bn | 1,618.31 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,116.28 Bn | 1,021.92 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 970.34 Bn | 927.09 Bn | 6.20 Bn |
| 6 | Asml Holding | 680.68 Bn | 636.37 Bn | 5.90 Bn |
| 7 | Intel | 517.24 Bn | 386.37 Bn | 6.51 Bn |
| 8 | Applied Materials | 395.12 Bn | 360.56 Bn | 4.59 Bn |
| 9 | Lam Research | 388.55 Bn | 365.34 Bn | 3.48 Bn |
| 10 | Semtech | 15.68 Bn | 14.95 Bn | 183.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 220.50 |
| Jan 25, 2026 | 223.14 |
| Oct 26, 2025 | 84.54 |
| Jul 27, 2025 | 75.45 |
| Apr 27, 2025 | 29.54 |
| Jan 26, 2025 | 101.67 |
| Apr 30, 2023 | 31.96 |
| Jan 29, 2023 | 20.28 |
| Oct 30, 2022 | 6.09 |
| Jul 31, 2022 | 18.79 |
| May 1, 2022 | 21.37 |
| Jan 30, 2022 | 28.05 |
| Oct 31, 2021 | 42.97 |
| Aug 1, 2021 | 35.45 |
| May 2, 2021 | 47.48 |
| Jan 31, 2021 | 58.03 |
| Oct 25, 2020 | 51.96 |
| Jul 26, 2020 | 49.20 |
| Apr 26, 2020 | 45.74 |
| Jan 26, 2020 | 60.77 |
Semtech EV to EBIT 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=ev-to-ebit&ticker=SMTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=SMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();