Teradyne (TER) Land & Improvements (2009 - 2025)
Teradyne (TER) reported Land & Improvements of $19.57 million for Q4 2025, up 0.8% from $19.41 million a year earlier.
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Analysis
Teradyne (TER) Land & Improvements (2009 - 2025) Analysis & Trends
Dating back to Q4 2009, Teradyne's Land & Improvements record includes 13 quarters.
- Land & Improvements has a three-year compound annual growth rate of 1.9% (FY2022 to FY2025).
- By year, Land & Improvements came in at $19.41 million in FY2024 (-0.4%), $19.49 million in FY2023 (+5.4%) and $18.48 million in FY2022.
- The Q4 2025 figure ranks as the highest quarterly Land & Improvements in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 19.57 Mn |
| Dec 31, 2024 | 19.41 Mn |
| Dec 31, 2023 | 19.49 Mn |
| Dec 31, 2022 | 18.48 Mn |
| Dec 31, 2017 | 16.56 Mn |
| Dec 31, 2016 | 16.56 Mn |
| Dec 31, 2015 | 16.56 Mn |
| Dec 31, 2014 | 16.56 Mn |
| Dec 31, 2013 | 16.56 Mn |
| Dec 31, 2012 | 16.56 Mn |
| Dec 31, 2011 | 16.56 Mn |
| Dec 31, 2010 | 16.56 Mn |
| Dec 31, 2009 | 16.56 Mn |
API Access
Teradyne Land & Improvements 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=land-and-improvements&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();