Teradyne (TER) Total Non-Current Liabilities (2009 - 2026)
Teradyne (TER) reported Total Non-Current Liabilities of $1.42 billion for Q2 2026, up 55.4% from $916.38 million a year earlier and up 11.0% from the prior quarter.
Teradyne (TER) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradyne posted Total Non-Current Liabilities of $1.38 billion, up 61.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $857.38 million in FY2024 (-4.4%), $896.6 million in FY2023 (-8.0%), $974.84 million in FY2022 (-16.3%) and $1.16 billion in FY2021 (-13.3%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last six quarters, with growth averaging 27.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2025 (growth of 61.0%); the low point was Q2 2022 (a decline of 21.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.28 billion (Q1 2026), $1.38 billion (Q4 2025) and $1.24 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 122.54 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 73.69 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 8.46 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 124.65 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 16.26 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 6.85 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 5.32 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 4.09 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 47.78 Bn |
| 10 | Teradyne | 34.04 Bn | 32.65 Bn | 771.28 Mn | 1.73 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.73 Bn |
| Jun 28, 2026 | 1.42 Bn |
| Mar 29, 2026 | 1.28 Bn |
| Dec 31, 2025 | 1.38 Bn |
| Sep 28, 2025 | 1.24 Bn |
| Jun 29, 2025 | 916.38 Mn |
| Mar 30, 2025 | 876.02 Mn |
| Dec 31, 2024 | 857.38 Mn |
| Sep 29, 2024 | 834.22 Mn |
| Jun 30, 2024 | 859.67 Mn |
| Mar 31, 2024 | 791.91 Mn |
| Dec 31, 2023 | 896.60 Mn |
| Oct 1, 2023 | 867.91 Mn |
| Jul 2, 2023 | 899.21 Mn |
| Apr 2, 2023 | 858.60 Mn |
| Dec 31, 2022 | 974.84 Mn |
| Oct 2, 2022 | 991.14 Mn |
| Jul 3, 2022 | 1.12 Bn |
| Apr 3, 2022 | 1.05 Bn |
| Dec 31, 2021 | 1.16 Bn |
Teradyne Total Non-Current Liabilities 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-non-current-liabilities&ticker=TER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();