Teradyne (TER) Other Accumulated Expenses (2009 - 2026)
Teradyne (TER) reported Other Accumulated Expenses of $146.33 million for Q3 2026, up 5.5% from $138.72 million a year earlier and up 9.7% from the prior quarter.
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%).
- The Q3 2026 figure ranks as the highest quarterly Other Accumulated Expenses since Q2 2021.
- Year over year, Other Accumulated Expenses has now increased in each of the last six quarters, with growth averaging 10.4% 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 Q3 2026 came in at $133.4 million (Q2 2026), $122.51 million (Q1 2026) and $111.85 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn |
| 10 | Teradyne | 34.04 Bn | 32.65 Bn | 771.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 146.33 Mn |
| 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 |
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_KEY
import 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();