Synaptics (SYNA) Total Debt (2013 - 2026)
Synaptics (SYNA) reported Total Debt of $837.3 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 0.3% from $834.8 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Synaptics (SYNA) Total Debt (2013 - 2026) Analysis & Trends
Dating back to fiscal Q2 2014, Synaptics' Total Debt record includes 35 quarters.
- Total Debt has a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- By fiscal year, Total Debt came in at $834.8 million in FY2025 (-14.7%), $978.9 million in FY2024 (-0.5%), $984 million in FY2023 (-0.4%) and $987.7 million in FY2022 (+12.0%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Total Debt since fiscal Q1 2025.
- Year over year, Total Debt has now increased in each of the last three quarters, with an average decline of 7.1% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was fiscal Q3 2022 (growth of 149.1%); the low point was fiscal Q4 2025 (a decline of 14.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $836.7 million (Q3 2026), $836 million (Q2 2026) and $835.4 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 33.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 6.85 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 59.42 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 5.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.23 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 5.11 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 50.54 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.73 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.54 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 837.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 837.30 Mn |
| Mar 28, 2026 | 836.70 Mn |
| Dec 27, 2025 | 836.00 Mn |
| Sep 27, 2025 | 835.40 Mn |
| Jun 28, 2025 | 834.80 Mn |
| Mar 29, 2025 | 834.20 Mn |
| Dec 28, 2024 | 832.50 Mn |
| Sep 28, 2024 | 971.90 Mn |
| Jun 29, 2024 | 978.90 Mn |
| Mar 30, 2024 | 973.70 Mn |
| Dec 30, 2023 | 974.70 Mn |
| Sep 30, 2023 | 975.60 Mn |
| Jun 24, 2023 | 984.00 Mn |
| Mar 25, 2023 | 978.90 Mn |
| Dec 24, 2022 | 979.90 Mn |
| Sep 24, 2022 | 980.80 Mn |
| Jun 25, 2022 | 987.70 Mn |
| Mar 26, 2022 | 982.60 Mn |
| Dec 25, 2021 | 983.50 Mn |
| Sep 25, 2021 | 394.50 Mn |
API Access
Synaptics Total 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=total-debt&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();