Teradyne (TER) Total Liabilities (2009 - 2026)
Teradyne (TER) reported Total Liabilities of $1.45 billion for Q2 2026, up 57.1% from $924.56 million a year earlier and up 12.6% from the prior quarter.
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Analysis
Teradyne (TER) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradyne posted Total Liabilities of $1.39 billion, up 56.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $889.42 million in FY2024 (-7.4%), $960.93 million in FY2023 (-8.5%), $1.05 billion in FY2022 (-15.8%) and $1.25 billion in FY2021 (-13.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q2 2021.
- Year over year, Total Liabilities has now increased in each of the last six quarters, with growth averaging 24.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2026 (growth of 57.1%); the low point was Q2 2022 (a decline of 21.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.29 billion (Q1 2026), $1.39 billion (Q4 2025) and $1.25 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | 44.91 Bn |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 7.81 Bn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | 1.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.45 Bn |
| Mar 29, 2026 | 1.29 Bn |
| Dec 31, 2025 | 1.39 Bn |
| Sep 28, 2025 | 1.25 Bn |
| Jun 29, 2025 | 924.56 Mn |
| Mar 30, 2025 | 908.34 Mn |
| Dec 31, 2024 | 889.42 Mn |
| Sep 29, 2024 | 867.19 Mn |
| Jun 30, 2024 | 900.89 Mn |
| Mar 31, 2024 | 852.89 Mn |
| Dec 31, 2023 | 960.93 Mn |
| Oct 1, 2023 | 929.36 Mn |
| Jul 2, 2023 | 960.01 Mn |
| Apr 2, 2023 | 933.95 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Oct 2, 2022 | 1.07 Bn |
| Jul 3, 2022 | 1.19 Bn |
| Apr 3, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.25 Bn |
| Oct 3, 2021 | 1.22 Bn |
API Access
Teradyne Total 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-liabilities&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();