Teradyne (TER) Operating Margin (2009 - 2026)
Teradyne (TER) recorded Operating Margin of 32.94% in Q2 2026, up 19.02 percentage points from 13.92% a year earlier but down 3.94 percentage points from the prior quarter.
Teradyne (TER) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Teradyne's Operating Margin came in at 30.23% as of Jun 28, 2026, up 11.94 percentage points year-over-year; for FY2025, it came in at 20.38%, down 0.68 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -9.37 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 21.06% in FY2024 (+2.33 pp), 18.72% in FY2023 (-7.65 pp), 26.37% in FY2022 (-6.06 pp) and 32.43% in FY2021 (+2.68 pp).
- Quarterly Operating Margin has ranged from 12.97% in Q1 2024 to 36.88% in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of +4.37 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 19.26 percentage points in Q1 2026, against a drop of 14.90 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 36.88% (Q1 2026), 27.06% (Q4 2025) and 18.89% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | 11.46% |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | 45.39% |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | 78.49% |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | 16.79% |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 42.96% |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 41.71% |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | 11.41% |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | 32.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 32.94% |
| Mar 29, 2026 | 36.88% |
| Dec 31, 2025 | 27.06% |
| Sep 28, 2025 | 18.89% |
| Jun 29, 2025 | 13.92% |
| Mar 30, 2025 | 17.62% |
| Dec 31, 2024 | 20.40% |
| Sep 29, 2024 | 20.62% |
| Jun 30, 2024 | 28.82% |
| Mar 31, 2024 | 12.97% |
| Dec 31, 2023 | 18.54% |
| Oct 1, 2023 | 20.46% |
| Jul 2, 2023 | 20.44% |
| Apr 2, 2023 | 15.04% |
| Dec 31, 2022 | 22.76% |
| Oct 2, 2022 | 27.99% |
| Jul 3, 2022 | 29.50% |
| Apr 3, 2022 | 24.60% |
| Dec 31, 2021 | 28.97% |
| Oct 3, 2021 | 33.92% |
Teradyne Operating Margin 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-margin&ticker=TER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();