Teradyne (TER) Change in Accured Expenses (2009 - 2026)
Teradyne (TER) reported Change in Accured Expenses of $136.83 million for Q2 2026, up 405.2% from $27.09 million a year earlier.
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Analysis
Teradyne (TER) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Teradyne's Change in Accured Expenses came in at $313.52 million; for FY2025, it was $208.85 million.
- Change in Accured Expenses has a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at -$54.39 million in FY2024, $46.78 million in FY2023, -$60.51 million in FY2022 and $129.5 million in FY2021 (+77.0%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses since Q2 2020.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 280.1%.
- The high point for year-over-year Change in Accured Expenses in five years was Q4 2025 (growth of 841.8%); the low point was Q4 2022 (a decline of 82.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$15.03 million (Q1 2026), $87.4 million (Q4 2025) and $104.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 789.00 Mn |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | - |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | 304.00 Mn |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 182.00 Mn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 50.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | - |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | 136.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 136.83 Mn |
| Mar 29, 2026 | -15.03 Mn |
| Dec 31, 2025 | 87.40 Mn |
| Sep 28, 2025 | 104.31 Mn |
| Jun 29, 2025 | 27.09 Mn |
| Mar 30, 2025 | -9.95 Mn |
| Dec 31, 2024 | 9.28 Mn |
| Sep 29, 2024 | -10.66 Mn |
| Jun 30, 2024 | 52.54 Mn |
| Mar 31, 2024 | -105.55 Mn |
| Dec 31, 2023 | 42.78 Mn |
| Oct 1, 2023 | 28.51 Mn |
| Jul 2, 2023 | 58.69 Mn |
| Apr 2, 2023 | -83.21 Mn |
| Dec 31, 2022 | 11.18 Mn |
| Oct 2, 2022 | -28.07 Mn |
| Jul 3, 2022 | 80.77 Mn |
| Apr 3, 2022 | -124.38 Mn |
| Dec 31, 2021 | 64.44 Mn |
| Oct 3, 2021 | -21.73 Mn |
API Access
Teradyne Change in Accured Expenses 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=change-in-accured-expenses&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();