Teradyne (TER) Return on Capital Employed [ROCE] (2010 - 2026)
Teradyne's Return on Capital Employed [ROCE] came in at 37.84% for Q2 2026, up 20.93 percentage points from 16.91% a year earlier and up 7.43 percentage points from the prior quarter.
Teradyne (TER) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Teradyne's Return on Capital Employed [ROCE] was 22.96%, up 2.99 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -13.90 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 19.97% in FY2024 (+2.29 pp), 17.68% in FY2023 (-10.92 pp), 28.60% in FY2022 (-12.44 pp) and 41.04% in FY2021 (+4.18 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q1 2022.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +4.26 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 20.93 percentage points), and the weakest in Q3 2023 (a drop of 14.30 percentage points).
- Business Quant data shows TER's Return on Capital Employed [ROCE] at 30.40% (Q1 2026), 21.97% (Q4 2025) and 17.80% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 70.57% |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 17.86% |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 29.33% |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 38.06% |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 16.11% |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 115.35% |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 76.09% |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 57.31% |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 5.09% |
| 10 | Teradyne | 34.04 Bn | 32.65 Bn | 771.28 Mn | 41.76% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 41.76% |
| Jun 28, 2026 | 37.84% |
| Mar 29, 2026 | 30.40% |
| Dec 31, 2025 | 21.97% |
| Sep 28, 2025 | 17.80% |
| Jun 29, 2025 | 16.91% |
| Mar 30, 2025 | 20.82% |
| Dec 31, 2024 | 19.06% |
| Sep 29, 2024 | 18.18% |
| Jun 30, 2024 | 19.22% |
| Mar 31, 2024 | 16.79% |
| Dec 31, 2023 | 18.10% |
| Oct 1, 2023 | 19.81% |
| Jul 2, 2023 | 23.20% |
| Apr 2, 2023 | 26.26% |
| Dec 31, 2022 | 31.23% |
| Oct 2, 2022 | 34.11% |
| Jul 3, 2022 | 36.81% |
| Apr 3, 2022 | 38.49% |
| Dec 31, 2021 | 40.28% |
Teradyne Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=TER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();