Teradyne (TER) Tax Provisions (2009 - 2026)
Teradyne (TER) recorded Tax Provisions of $59.83 million in Q3 2026, up 156.3% from $23.34 million a year earlier but down 10.4% from the prior quarter.
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Analysis
Teradyne (TER) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Teradyne's Tax Provisions came in at $217.93 million as of Sep 27, 2026, up 292.3% year-over-year; for FY2025, it was $79.3 million, up 33.3% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $59.5 million in FY2024 (-22.5%), $76.82 million in FY2023 (-38.5%), $124.9 million in FY2022 (-14.7%) and $146.4 million in FY2021 (+25.2%).
- Quarterly Tax Provisions has ranged from $5.41 million in Q4 2024 to $66.79 million in Q2 2026 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for five consecutive quarters, with growth averaging 173.2% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 444.8% in Q2 2026, against a decline of 76.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.79 million (Q2 2026), $62.16 million (Q1 2026) and $29.15 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 5.42 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 1.07 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 355.10 Mn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 998.00 Mn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 1.04 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 1.22 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 221.00 Mn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 259.00 Mn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 222.00 Mn |
| 10 | Teradyne | 34.04 Bn | 32.65 Bn | 771.28 Mn | 59.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 59.83 Mn |
| Jun 28, 2026 | 66.79 Mn |
| Mar 29, 2026 | 62.16 Mn |
| Dec 31, 2025 | 29.15 Mn |
| Sep 28, 2025 | 23.34 Mn |
| Jun 29, 2025 | 12.26 Mn |
| Mar 30, 2025 | 14.54 Mn |
| Dec 31, 2024 | 5.41 Mn |
| Sep 29, 2024 | 12.26 Mn |
| Jun 30, 2024 | 33.13 Mn |
| Mar 31, 2024 | 8.71 Mn |
| Dec 31, 2023 | 22.75 Mn |
| Oct 1, 2023 | 16.16 Mn |
| Jul 2, 2023 | 24.35 Mn |
| Apr 2, 2023 | 13.55 Mn |
| Dec 31, 2022 | 22.95 Mn |
| Oct 2, 2022 | 42.71 Mn |
| Jul 3, 2022 | 40.81 Mn |
| Apr 3, 2022 | 18.43 Mn |
| Dec 31, 2021 | 31.18 Mn |
API Access
Teradyne Tax Provisions 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=tax-provisions&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();