Teradyne (TER) Accounts Payables (2009 - 2026)
Teradyne's Accounts Payables was $383.42 million in Q2 2026, up 122.9% from $172.03 million a year earlier and up 11.2% from the prior quarter.
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Analysis
Teradyne (TER) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Teradyne came in at $269.19 million, up 99.7% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $134.79 million in FY2024 (-25.2%), $180.13 million in FY2023 (+28.9%), $139.72 million in FY2022 (-8.8%) and $153.13 million in FY2021 (+14.6%).
- The Q2 2026 figure marks the highest quarterly Accounts Payables in data going back to Q4 2009.
- Compared with a year earlier, Accounts Payables has increased for six straight quarters, with growth averaging 43.0% over the last eight quarters.
- The best year-over-year quarter for Accounts Payables over five years was Q2 2026 (growth of 122.9%); the worst was Q4 2024 (a decline of 25.2%).
- Per Business Quant data, TER's Accounts Payables in the three quarters before Q2 2026 was $344.68 million (Q1 2026), $269.19 million (Q4 2025) and $227.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | 64.53 Bn |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | 3.37 Bn |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | 49.72 Bn |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | 692.70 Mn |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | 976.00 Mn |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | 13.76 Bn |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | 1.75 Bn |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | 1.77 Bn |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | 13.73 Bn |
| 10 | Teradyne | 50.88 Bn | 49.66 Bn | 794.62 Mn | 383.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 383.42 Mn |
| Mar 29, 2026 | 344.68 Mn |
| Dec 31, 2025 | 269.19 Mn |
| Sep 28, 2025 | 227.85 Mn |
| Jun 29, 2025 | 172.03 Mn |
| Mar 30, 2025 | 187.03 Mn |
| Dec 31, 2024 | 134.79 Mn |
| Sep 29, 2024 | 158.46 Mn |
| Jun 30, 2024 | 160.81 Mn |
| Mar 31, 2024 | 153.87 Mn |
| Dec 31, 2023 | 180.13 Mn |
| Oct 1, 2023 | 176.12 Mn |
| Jul 2, 2023 | 153.16 Mn |
| Apr 2, 2023 | 142.38 Mn |
| Dec 31, 2022 | 139.72 Mn |
| Oct 2, 2022 | 167.98 Mn |
| Jul 3, 2022 | 175.61 Mn |
| Apr 3, 2022 | 156.49 Mn |
| Dec 31, 2021 | 153.13 Mn |
| Oct 3, 2021 | 154.91 Mn |
API Access
Teradyne Accounts Payables 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=accounts-payables&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();