Synaptics (SYNA) Short term Debt (2009 - 2026)
Synaptics' Short term Debt came in at $440.1 million for fiscal Q1 2027 (quarter ended Sep 26, 2026), up 0.1% from the prior quarter.
Analysis
Synaptics (SYNA) Short term Debt (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 27, 2026), Synaptics' Short term Debt was $439.6 million.
- Short term Debt carries a four-year compound annual growth rate of 192.6% (FY2022 to FY2026).
- Going back by fiscal year, Short term Debt was $6 million in FY2024, $6 million in FY2023 (unchanged) and $6 million in FY2022.
- The fiscal Q1 2027 figure represents the highest quarterly Short term Debt since fiscal Q4 2020.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 440.10 Mn |
| Jun 27, 2026 | 439.60 Mn |
| Jun 29, 2024 | 6.00 Mn |
| Jun 24, 2023 | 6.00 Mn |
| Jun 25, 2022 | 6.00 Mn |
| Jun 27, 2020 | 486.60 Mn |
| Jun 24, 2017 | 15.00 Mn |
| Mar 31, 2017 | 15.00 Mn |
| Dec 31, 2016 | 15.00 Mn |
| Sep 30, 2016 | 15.00 Mn |
| Jun 25, 2016 | 18.80 Mn |
| Mar 31, 2016 | 15.00 Mn |
| Dec 31, 2015 | 15.00 Mn |
| Sep 30, 2015 | 13.10 Mn |
| Jun 27, 2015 | 11.30 Mn |
| Mar 31, 2015 | 9.38 Mn |
| Dec 31, 2014 | 7.50 Mn |
| Dec 31, 2013 | 2.31 Mn |
| Dec 31, 2009 | 63.23 Mn |
| Jun 30, 2009 | 65.30 Mn |
API Access
Synaptics Short term Debt 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=short-term-debt&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();