Teradyne (TER) Buildings (2009 - 2025)
Teradyne's Buildings was $220.92 million in Q4 2025, up 20.5% from $183.37 million a year earlier.
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Analysis
Teradyne (TER) Buildings (2009 - 2025) Analysis & Trends
From Q4 2009 onward, Teradyne has reported Buildings for 17 quarters.
- Buildings shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In earlier years, Buildings was $183.37 million in FY2024 (+43.6%), $127.71 million in FY2023 (-1.0%), $128.99 million in FY2022 (+2.0%) and $126.47 million in FY2021 (+16.9%).
- The Q4 2025 figure marks the highest quarterly Buildings in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 220.92 Mn |
| Dec 31, 2024 | 183.37 Mn |
| Dec 31, 2023 | 127.71 Mn |
| Dec 31, 2022 | 128.99 Mn |
| Dec 31, 2021 | 126.47 Mn |
| Dec 31, 2020 | 108.22 Mn |
| Dec 31, 2019 | 107.28 Mn |
| Dec 31, 2018 | 105.94 Mn |
| Dec 31, 2017 | 98.37 Mn |
| Dec 31, 2016 | 98.03 Mn |
| Dec 31, 2015 | 108.80 Mn |
| Dec 31, 2014 | 108.67 Mn |
| Dec 31, 2013 | 107.63 Mn |
| Dec 31, 2012 | 106.71 Mn |
| Dec 31, 2011 | 105.85 Mn |
| Dec 31, 2010 | 130.09 Mn |
| Dec 31, 2009 | 133.69 Mn |
API Access
Teradyne Buildings 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=buildings&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();