Teradyne (TER) Amortizatization of Intangibles (2009 - 2026)
Teradyne's Amortizatization of Intangibles was $5.01 million in Q2 2026, up 22.8% from $4.08 million a year earlier and up 107.3% from the prior quarter.
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Analysis
Teradyne (TER) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Teradyne's Amortizatization of Intangibles was $15.1 million through Jun 28, 2026, down 17.1% year-over-year; for FY2025, it came in at $16.54 million, down 11.9% from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of -18.7% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $18.76 million in FY2024 (unchanged), $18.77 million in FY2023 (-5.7%), $19.91 million in FY2022 (-42.1%) and $34.41 million in FY2021 (-26.2%).
- The Q2 2026 figure marks the highest quarterly Amortizatization of Intangibles since Q1 2022.
- Compared with a year earlier, Amortizatization of Intangibles was higher in three of the last eight quarters, with an average decline of 8.8%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q2 2026 (growth of 22.8%); the worst was Q1 2026 (a decline of 49.5%).
- Per Business Quant data, TER's Amortizatization of Intangibles in the three quarters before Q2 2026 was $2.42 million (Q1 2026), $3.81 million (Q4 2025) and $3.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | 5.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.01 Mn |
| Mar 29, 2026 | 2.42 Mn |
| Dec 31, 2025 | 3.81 Mn |
| Sep 28, 2025 | 3.87 Mn |
| Jun 29, 2025 | 4.08 Mn |
| Mar 30, 2025 | 4.78 Mn |
| Dec 31, 2024 | 4.63 Mn |
| Sep 29, 2024 | 4.74 Mn |
| Jun 30, 2024 | 4.63 Mn |
| Mar 31, 2024 | 4.77 Mn |
| Dec 31, 2023 | 4.69 Mn |
| Oct 1, 2023 | 4.50 Mn |
| Jul 2, 2023 | 4.65 Mn |
| Apr 2, 2023 | 4.93 Mn |
| Dec 31, 2022 | 4.90 Mn |
| Oct 2, 2022 | 4.92 Mn |
| Jul 3, 2022 | 4.86 Mn |
| Apr 3, 2022 | 5.23 Mn |
| Dec 31, 2021 | 6.79 Mn |
| Oct 3, 2021 | 8.28 Mn |
API Access
Teradyne Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();