Teradyne (TER) Capital Expenditures (2009 - 2026)
Teradyne's Capital Expenditures was $90.71 million in Q2 2026, up 79.9% from $50.41 million a year earlier and up 40.1% from the prior quarter.
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Analysis
Teradyne (TER) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Teradyne's Capital Expenditures was $265.02 million through Jun 28, 2026, up 117.5% year-over-year; for FY2025, it was $224.01 million, down 57.9% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $532.06 million in FY2024 (+233.3%), $159.64 million in FY2023 (-2.2%), $163.25 million in FY2022 (+23.2%) and $132.47 million in FY2021 (-28.4%).
- The Q2 2026 figure marks the highest quarterly Capital Expenditures since Q2 2024.
- Compared with a year earlier, Capital Expenditures was higher in three of the last six quarters, with an average decline of 24.1%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2026 (growth of 79.9%); the worst was Q3 2024 (a decline of 93.0%).
- Per Business Quant data, TER's Capital Expenditures in the three quarters before Q2 2026 was $64.73 million (Q1 2026), $62.89 million (Q4 2025) and $46.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | 2.46 Bn |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 390.00 Mn |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | 1.24 Bn |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | 29.70 Mn |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | 43.00 Mn |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | -864.98 Mn |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 187.00 Mn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 108.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | 745.00 Mn |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | 100.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 100.74 Mn |
| Mar 29, 2026 | 64.73 Mn |
| Dec 31, 2025 | 62.89 Mn |
| Sep 28, 2025 | 66.84 Mn |
| Jun 29, 2025 | 52.77 Mn |
| Mar 30, 2025 | 67.03 Mn |
| Dec 31, 2024 | 62.39 Mn |
| Sep 29, 2024 | 54.25 Mn |
| Jun 30, 2024 | 569.50 Mn |
| Mar 31, 2024 | 44.02 Mn |
| Dec 31, 2023 | 44.34 Mn |
| Oct 1, 2023 | 34.60 Mn |
| Jul 2, 2023 | 39.26 Mn |
| Apr 2, 2023 | 41.44 Mn |
| Dec 31, 2022 | 34.58 Mn |
| Oct 2, 2022 | 38.93 Mn |
| Jul 3, 2022 | 45.74 Mn |
| Apr 3, 2022 | 44.00 Mn |
| Dec 31, 2021 | 29.31 Mn |
| Oct 3, 2021 | 29.21 Mn |
API Access
Teradyne Capital Expenditures 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=capital-expenditures&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();