Teradyne (TER) Debt Ratio (2009 - 2025)
Teradyne's Debt Ratio was 0.05 in Q4 2025, down 5.3% from the prior quarter.
Powered by 
Analysis
Teradyne (TER) Debt Ratio (2009 - 2025) Analysis & Trends
From Q4 2009 onward, Teradyne has reported Debt Ratio for 25 quarters.
- In earlier years, Debt Ratio was 0.01 in FY2022 (+184.3%) and 0.01 in FY2021 (-44.8%).
- The Q4 2025 figure marks the lowest quarterly Debt Ratio since Q3 2023.
- The best year-over-year quarter for Debt Ratio over five years was Q2 2023 (growth of 250.0%); the worst was Q2 2022 (a decline of 94.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | 0.22 |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 0.23 |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | 0.27 |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | - |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | - |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | 0.08 |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 0.36 |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 0.08 |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | 0.24 |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.05 |
| Sep 28, 2025 | 0.05 |
| Oct 1, 2023 | 0.01 |
| Jul 2, 2023 | 0.01 |
| Apr 2, 2023 | 0.01 |
| Dec 31, 2022 | 0.01 |
| Oct 2, 2022 | 0.00 |
| Jul 3, 2022 | 0.00 |
| Apr 3, 2022 | 0.01 |
| Dec 31, 2021 | 0.01 |
| Oct 3, 2021 | 0.01 |
| Jul 4, 2021 | 0.05 |
| Apr 4, 2021 | 0.00 |
| Dec 31, 2020 | 0.01 |
| Dec 31, 2013 | 0.07 |
| Sep 29, 2013 | 0.07 |
| Jun 30, 2013 | 0.07 |
| Mar 31, 2013 | 0.07 |
| Dec 31, 2012 | 0.07 |
| Sep 30, 2012 | 0.07 |
API Access
Teradyne Debt Ratio 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=debt-ratio&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "TER", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();