Synaptics (SYNA) EV to FCF (2009 - 2026)
Synaptics' (SYNA) EV to FCF was 57.44 for fiscal Q1 2027 (quarter ended Sep 26, 2026), up 195.0% from 19.47 a year earlier and up 79.4% from the prior quarter.
Synaptics (SYNA) EV to FCF (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Synaptics' EV to FCF came in at 37.56, up 451.4% year-over-year; for FY2026 (ended Jun 27, 2026), it was 42.25, up 139.4% from FY2025.
- By fiscal year, EV to FCF came in at 17.65 in FY2025 (-31.0%), 25.59 in FY2024, 35.63 in FY2023 (+500.7%) and 5.93 in FY2022 (-82.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly EV to FCF since fiscal Q2 2015.
- Year over year, EV to FCF gained in two of the last four quarters, with growth averaging 63.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Synaptics | 4.69 Bn | 3.04 Bn | 140.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 57.44 |
| Jun 27, 2026 | 32.02 |
| Mar 28, 2026 | 15.41 |
| Sep 27, 2025 | 19.47 |
| Jun 28, 2025 | 16.16 |
| Mar 29, 2025 | 17.64 |
| Sep 28, 2024 | 26.05 |
| Dec 30, 2023 | 20.11 |
| Sep 30, 2023 | 10.08 |
| Dec 24, 2022 | 10.22 |
| Sep 24, 2022 | 9.21 |
| Dec 25, 2021 | 34.97 |
| Sep 25, 2021 | 37.54 |
| Jun 26, 2021 | 24.04 |
| Mar 27, 2021 | 31.82 |
| Sep 26, 2020 | 16.28 |
| Jun 27, 2020 | 5.63 |
| Mar 28, 2020 | 10.33 |
| Dec 31, 2019 | 9.39 |
| Sep 30, 2019 | 5.53 |
Synaptics 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=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "SYNA", "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=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();