Lattice Semiconductor (LSCC) EV to FCF (2011 - 2026)
Lattice Semiconductor's (LSCC) EV to FCF was 93.25 for Q2 2027, up 84.5% from 50.54 a year earlier and up 8.0% from the prior quarter.
Lattice Semiconductor (LSCC) EV to FCF (2011 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Lattice Semiconductor's EV to FCF came in at 91.28, up 91.6% year-over-year; for FY2026, it came in at 80.13.
- By year, EV to FCF came in at 66.58 in FY2024 (+77.7%), 37.46 in FY2023 (-7.7%) and 40.61 in FY2022 (-38.6%).
- The Q2 2027 figure ranks as the highest quarterly EV to FCF in data going back to Q1 2015.
- Per Business Quant data, the three quarters before Q2 2027 came in at 86.30 (Q1 2027), 80.13 (Q4 2026) and 75.15 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Lattice Semiconductor | 18.38 Bn | 17.82 Bn | 141.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 93.25 |
| Apr 4, 2026 | 86.30 |
| Jan 3, 2026 | 80.13 |
| Sep 27, 2025 | 75.15 |
| Jun 28, 2025 | 50.54 |
| Mar 29, 2025 | 63.86 |
| Dec 28, 2024 | 66.58 |
| Sep 28, 2024 | 48.89 |
| Jun 29, 2024 | 42.17 |
| Mar 30, 2024 | 44.55 |
| Dec 30, 2023 | 37.46 |
| Sep 30, 2023 | 46.43 |
| Jul 1, 2023 | 55.91 |
| Apr 1, 2023 | 61.14 |
| Dec 31, 2022 | 40.61 |
| Oct 1, 2022 | 27.32 |
| Jul 2, 2022 | 28.92 |
| Apr 2, 2022 | 41.10 |
| Jan 1, 2022 | 61.89 |
| Apr 3, 2021 | 73.96 |
Lattice Semiconductor EV to FCF 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-fcf&ticker=LSCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "LSCC", "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-fcf&ticker=LSCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();