Teradyne (TER) Other Accumulated Expenses (2009 - 2026)
Teradyne (TER) reported Other Accumulated Expenses of $133.4 million for Q2 2026, up 21.1% from $110.14 million a year earlier and up 8.9% from the prior quarter.
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Analysis
Teradyne (TER) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradyne posted Other Accumulated Expenses of $111.85 million, up 23.2% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $90.78 million in FY2024 (-20.9%), $114.71 million in FY2023 (+2.2%), $112.27 million in FY2022 (-9.6%) and $124.19 million in FY2021 (+60.1%).
- Five-year quarterly Other Accumulated Expenses spans a low of $90.78 million in Q4 2024 and a high of $138.72 million in Q3 2025.
- Year over year, Other Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 8.0% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q4 2021 (growth of 60.1%); the low point was Q4 2024 (a decline of 20.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $122.51 million (Q1 2026), $111.85 million (Q4 2025) and $138.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 133.40 Mn |
| Mar 29, 2026 | 122.51 Mn |
| Dec 31, 2025 | 111.85 Mn |
| Sep 28, 2025 | 138.72 Mn |
| Jun 29, 2025 | 110.14 Mn |
| Mar 30, 2025 | 100.06 Mn |
| Dec 31, 2024 | 90.78 Mn |
| Sep 29, 2024 | 105.15 Mn |
| Jun 30, 2024 | 108.75 Mn |
| Mar 31, 2024 | 101.28 Mn |
| Dec 31, 2023 | 114.71 Mn |
| Oct 1, 2023 | 122.61 Mn |
| Jul 2, 2023 | 114.44 Mn |
| Apr 2, 2023 | 114.74 Mn |
| Dec 31, 2022 | 112.27 Mn |
| Oct 2, 2022 | 126.46 Mn |
| Jul 3, 2022 | 133.88 Mn |
| Apr 3, 2022 | 118.25 Mn |
| Dec 31, 2021 | 124.19 Mn |
| Oct 3, 2021 | 135.49 Mn |
API Access
Teradyne Other Accumulated 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=other-accumulated-expenses&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();