Teradyne (TER) EBITDA (2009 - 2026)
Teradyne (TER) posted EBITDA of $476.47 million for Q2 2026, up 277.5% from $126.21 million a year earlier but down 6.2% from the prior quarter.
Teradyne (TER) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EBITDA at Teradyne was $1.5 billion, up 127.3% year-over-year; for FY2025, it was $794.57 million, up 8.5% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior years, Teradyne's EBITDA was $732.29 million in FY2024 (+16.1%), $630.72 million in FY2023 (-34.5%), $962.53 million in FY2022 (-29.3%) and $1.36 billion in FY2021 (+29.0%).
- Quarterly EBITDA has run from a low of $110.66 million in Q1 2024 to a high of $508.07 million in Q1 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 75.1% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2026, with growth of 277.5%; the weakest was Q2 2025, with a decline of 48.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $508.07 million (Q1 2026), $332.79 million (Q4 2025) and $179.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | 39.02 Bn |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 4.90 Bn |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | 6.14 Bn |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | 1.40 Bn |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | 7.08 Bn |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | 4.56 Bn |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 1.63 Bn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 1.66 Bn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | 2.26 Bn |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | 476.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 476.47 Mn |
| Mar 29, 2026 | 508.07 Mn |
| Dec 31, 2025 | 332.79 Mn |
| Sep 28, 2025 | 179.69 Mn |
| Jun 29, 2025 | 126.21 Mn |
| Mar 30, 2025 | 155.88 Mn |
| Dec 31, 2024 | 189.34 Mn |
| Sep 29, 2024 | 187.09 Mn |
| Jun 30, 2024 | 245.20 Mn |
| Mar 31, 2024 | 110.66 Mn |
| Dec 31, 2023 | 152.27 Mn |
| Oct 1, 2023 | 172.10 Mn |
| Jul 2, 2023 | 167.11 Mn |
| Apr 2, 2023 | 120.47 Mn |
| Dec 31, 2022 | 194.39 Mn |
| Oct 2, 2022 | 259.87 Mn |
| Jul 3, 2022 | 274.81 Mn |
| Apr 3, 2022 | 213.59 Mn |
| Dec 31, 2021 | 286.46 Mn |
| Oct 3, 2021 | 352.70 Mn |
Teradyne EBITDA 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=ebitda&ticker=TER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();