Teradyne (TER) Cash from Operations (2009 - 2026)
Teradyne's Cash from Operations came in at $313.61 million for Q3 2026, up 539.4% from $49.05 million a year earlier but down 33.2% from the prior quarter.
Teradyne (TER) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, Teradyne reported Cash from Operations of $1.33 billion, up 96.9% 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 five-year range for quarterly Cash from Operations is $7.28 million (Q1 2024) to $469.14 million (Q2 2026).
- Year-over-year, Cash from Operations has increased for three consecutive quarters, with growth averaging 98.3% over the last seven quarters.
- The fastest year-over-year change in Cash from Operations over five years came in Q3 2026 (growth of 539.4%), and the weakest in Q1 2022 (a decline of 80.4%).
- Business Quant data shows TER's Cash from Operations at $469.14 million (Q2 2026), $265.12 million (Q1 2026) and $281.64 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 28.10 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 5.39 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 1.20 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 2.23 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 2.88 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 6.36 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 1.69 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 1.60 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 1.64 Bn |
| 10 | Teradyne | 34.04 Bn | 32.65 Bn | 771.28 Mn | 313.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 313.61 Mn |
| 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 |
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();