Teradyne (TER) Operating Expenses (2009 - 2026)
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Analysis
Teradyne (TER) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 19.19 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 683.30 Mn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 4.45 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 17.49 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 598.00 Mn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 2.17 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 488.00 Mn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Teradyne | 34.04 Bn | 32.65 Bn | 771.28 Mn | 369.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 369.31 Mn |
| Jun 28, 2026 | 356.81 Mn |
| Mar 29, 2026 | 307.95 Mn |
| Dec 31, 2025 | 326.49 Mn |
| Sep 28, 2025 | 304.00 Mn |
| Jun 29, 2025 | 282.27 Mn |
| Mar 30, 2025 | 294.53 Mn |
| Dec 31, 2024 | 293.70 Mn |
| Sep 29, 2024 | 284.45 Mn |
| Jun 30, 2024 | 215.48 Mn |
| Mar 31, 2024 | 261.51 Mn |
| Dec 31, 2023 | 255.22 Mn |
| Oct 1, 2023 | 254.32 Mn |
| Jul 2, 2023 | 262.58 Mn |
| Apr 2, 2023 | 263.56 Mn |
| Dec 31, 2022 | 253.86 Mn |
| Oct 2, 2022 | 253.87 Mn |
| Jul 3, 2022 | 258.40 Mn |
| Apr 3, 2022 | 269.08 Mn |
| Dec 31, 2021 | 270.61 Mn |
API Access
Teradyne Operating 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=operating-expenses&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();