Synaptics (SYNA) EV to EBITDA (2010 - 2026)
Synaptics' EV to EBITDA was 51.80 in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 23.8% from 41.85 a year earlier and up 93.0% from the prior quarter.
Analysis
Synaptics (SYNA) EV to EBITDA (2010 - 2026) Analysis & Trends
From fiscal Q1 2011 onward, Synaptics has reported EV to EBITDA for 64 quarters.
- In earlier fiscal years, EV to EBITDA was 41.85 in FY2025 (-87.8%), 343.81 in FY2024, 7.04 in FY2023 (-17.1%) and 8.49 in FY2022 (-46.0%).
- The fiscal Q4 2026 figure marks the highest quarterly EV to EBITDA since fiscal Q3 2025.
- Compared with a year earlier, EV to EBITDA was higher in three of the last eight quarters, with growth averaging 64.8%.
- The best year-over-year quarter for EV to EBITDA over five years was fiscal Q2 2024 (growth of 752.6%); the worst was fiscal Q4 2025 (a decline of 87.8%).
- Per Business Quant data, SYNA's EV to EBITDA in the three fiscal quarters before Q4 2026 was 26.84 (Q3 2026), 32.17 (Q2 2026) and 34.73 (Q1 2026).
Peer Set
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 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 51.80 |
| Mar 28, 2026 | 26.84 |
| Dec 27, 2025 | 32.17 |
| Sep 27, 2025 | 34.73 |
| Jun 28, 2025 | 41.85 |
| Mar 29, 2025 | 68.77 |
| Dec 28, 2024 | 96.03 |
| Sep 28, 2024 | 145.83 |
| Jun 29, 2024 | 343.81 |
| Mar 30, 2024 | 243.80 |
| Dec 30, 2023 | 46.17 |
| Sep 30, 2023 | 17.16 |
| Jun 24, 2023 | 7.04 |
| Mar 25, 2023 | 7.12 |
| Dec 24, 2022 | 5.41 |
| Sep 24, 2022 | 5.60 |
| Jun 25, 2022 | 8.49 |
| Mar 26, 2022 | 18.79 |
| Dec 25, 2021 | 29.68 |
| Sep 25, 2021 | 21.05 |
API Access
Synaptics EV to EBITDA 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-ebitda&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();