Teradyne (TER) Cash from Operations (2009 - 2026)
Teradyne's Cash from Operations came in at $469.14 million for Q2 2026, up 157.6% from $182.09 million a year earlier and up 77.0% from the prior quarter.
Teradyne (TER) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Teradyne reported Cash from Operations of $1.06 billion, up 34.4% year-over-year; for FY2025, it came in at $674.42 million, up 0.3% from FY2024.
- Cash from Operations has increased in each of the last three years, though with a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $672.18 million in FY2024 (+14.9%), $585.23 million in FY2023 (+1.3%), $577.92 million in FY2022 (-47.4%) and $1.1 billion in FY2021 (+26.4%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations since Q3 2021.
- Year-over-year, Cash from Operations increased in three of the last seven quarters, with growth averaging 20.6%.
- The fastest year-over-year change in Cash from Operations over five years came in Q1 2023 (growth of 159.1%), and the weakest in Q1 2022 (a decline of 80.4%).
- Business Quant data shows TER's Cash from Operations at $265.12 million (Q1 2026), $281.64 million (Q4 2025) and $49.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | 34.37 Bn |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 5.39 Bn |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | 2.23 Bn |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | 1.08 Bn |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | 7.13 Bn |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | 1.24 Bn |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 1.31 Bn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 1.39 Bn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | 1.64 Bn |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | 469.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 469.14 Mn |
| Mar 29, 2026 | 265.12 Mn |
| Dec 31, 2025 | 281.64 Mn |
| Sep 28, 2025 | 49.05 Mn |
| Jun 29, 2025 | 182.09 Mn |
| Mar 30, 2025 | 161.64 Mn |
| Dec 31, 2024 | 282.56 Mn |
| Sep 29, 2024 | 166.27 Mn |
| Jun 30, 2024 | 216.07 Mn |
| Mar 31, 2024 | 7.28 Mn |
| Dec 31, 2023 | 248.78 Mn |
| Oct 1, 2023 | 174.35 Mn |
| Jul 2, 2023 | 142.77 Mn |
| Apr 2, 2023 | 19.34 Mn |
| Dec 31, 2022 | 183.40 Mn |
| Oct 2, 2022 | 271.60 Mn |
| Jul 3, 2022 | 115.46 Mn |
| Apr 3, 2022 | 7.46 Mn |
| Dec 31, 2021 | 331.28 Mn |
| Oct 3, 2021 | 522.66 Mn |
Teradyne Cash from Operations 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=cash-from-operations&ticker=TER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();