Teradyne (TER) Operating Expenses (2009 - 2026)
Teradyne (TER) posted Operating Expenses of $356.81 million for Q2 2026, up 26.4% from $282.27 million a year earlier and up 15.9% from the prior quarter.
Powered by 
Analysis
Teradyne (TER) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Teradyne was $1.3 billion, up 12.1% year-over-year; for FY2025, it was $1.21 billion, up 14.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In prior years, Teradyne's Operating Expenses was $1.06 billion in FY2024 (+1.9%), $1.04 billion in FY2023 (unchanged), $1.04 billion in FY2022 (+2.9%) and $1.01 billion in FY2021 (+17.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2016.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 14.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 31.3%; the weakest was Q2 2024, with a decline of 17.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $307.95 million (Q1 2026), $326.49 million (Q4 2025) and $304 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | 356.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Oct 3, 2021 | 248.60 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();