Synaptics (SYNA) Times Interest Earned (2009 - 2025)
Synaptics' (SYNA) Times Interest Earned stood at -2.87 in FY2026 (year ended Jun 27, 2026), compared with -2.36 in FY2025.
Analysis
Synaptics (SYNA) Times Interest Earned (2009 - 2025) Analysis & Trends
Starting with FY2009, Synaptics' Times Interest Earned history includes 17 fiscal years.
- The FY2026 figure is the lowest annual Times Interest Earned in data going back to FY2009.
- Per Business Quant data, SYNA's Times Interest Earned was -2.36 in FY2025, -1.56 in FY2024, 2.78 in FY2023 (-76.0%) and 11.60 in FY2022 (+132.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (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 | 248.49 |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.51 |
| 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 | 53.78 |
| 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 | 45.22 |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2025 | -0.85 |
| Mar 29, 2025 | -23.91 |
| Dec 28, 2024 | -3.53 |
| Sep 28, 2024 | -2.43 |
| Jun 29, 2024 | -0.65 |
| Mar 30, 2024 | -2.95 |
| Dec 30, 2023 | -2.93 |
| Sep 30, 2023 | -2.98 |
| Jun 27, 2015 | 34.62 |
| Mar 31, 2015 | 39.41 |
| Dec 31, 2014 | 24.75 |
| Dec 31, 2013 | 4,415.60 |
| Sep 30, 2013 | 11,798.25 |
| Jun 29, 2013 | 13,444.50 |
| Mar 31, 2013 | 5,915.25 |
| Dec 31, 2012 | 2,985.60 |
| Sep 30, 2012 | 2,083.25 |
| Jun 30, 2012 | 3,836.00 |
| Mar 31, 2012 | 3,683.50 |
| Dec 31, 2011 | 4,233.00 |
API Access
Synaptics Times Interest Earned 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=times-interest-earned&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();