Teradyne (TER) Total Current Liabilities (2009 - 2026)
Teradyne's Total Current Liabilities came in at $1.34 billion for Q3 2026, up 34.8% from $994.99 million a year earlier and up 20.5% from the prior quarter.
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Analysis
Teradyne (TER) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradyne's Total Current Liabilities was $1.12 billion, up 78.6% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $624.58 million in FY2024 (-5.4%), $659.95 million in FY2023 (-11.6%), $746.26 million in FY2022 (-7.3%) and $805.12 million in FY2021 (+14.9%).
- The Q3 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2009.
- Year-over-year, Total Current Liabilities has increased for seven consecutive quarters, with growth averaging 40.1% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2025 (growth of 78.6%), and the weakest in Q2 2022 (a decline of 19.1%).
- Business Quant data shows TER's Total Current Liabilities at $1.11 billion (Q2 2026), $1.01 billion (Q1 2026) and $1.12 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 169.92 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 41.53 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 6.72 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 83.70 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 32.43 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 5.95 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 2.97 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 | 30.44 Bn |
| 10 | Teradyne | 34.04 Bn | 32.65 Bn | 771.28 Mn | 1.34 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.34 Bn |
| Jun 28, 2026 | 1.11 Bn |
| Mar 29, 2026 | 1.01 Bn |
| Dec 31, 2025 | 1.12 Bn |
| Sep 28, 2025 | 994.99 Mn |
| Jun 29, 2025 | 675.27 Mn |
| Mar 30, 2025 | 649.07 Mn |
| Dec 31, 2024 | 624.58 Mn |
| Sep 29, 2024 | 594.90 Mn |
| Jun 30, 2024 | 626.37 Mn |
| Mar 31, 2024 | 554.36 Mn |
| Dec 31, 2023 | 659.95 Mn |
| Oct 1, 2023 | 640.66 Mn |
| Jul 2, 2023 | 669.79 Mn |
| Apr 2, 2023 | 628.09 Mn |
| Dec 31, 2022 | 746.26 Mn |
| Oct 2, 2022 | 701.94 Mn |
| Jul 3, 2022 | 797.39 Mn |
| Apr 3, 2022 | 712.20 Mn |
| Dec 31, 2021 | 805.12 Mn |
API Access
Teradyne Total 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-current-liabilities&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();