Teradyne (TER) Convertible Debt (2016 - 2023)
Teradyne (TER) posted Convertible Debt of $32.81 million for Q2 2023, down 55.9% from $74.43 million a year earlier and down 6.6% from the prior quarter.
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Analysis
Teradyne (TER) Convertible Debt (2016 - 2023) Analysis & Trends
At the end of FY2022, Teradyne's Convertible Debt came in at $50.12 million, down 53.8% from FY2021.
- Annual Convertible Debt shows a five-year compound annual growth rate of -32.8% (FY2017 to FY2022).
- In prior years, Teradyne's Convertible Debt was $108.43 million in FY2021 (-73.6%), $410.11 million in FY2020 (+3.9%), $394.69 million in FY2019 (+3.9%) and $379.98 million in FY2018 (+3.8%).
- The Q2 2023 figure stands as the lowest quarterly Convertible Debt in data going back to Q4 2016.
- On a year-over-year basis, Convertible Debt has declined in each of the last ten quarters, with an average decline of 64.9% over the last eight quarters.
- The strongest year-over-year quarter for Convertible Debt in the past five years was Q4 2020, with growth of 3.9%; the weakest was Q2 2022, with a decline of 79.2%.
- According to Business Quant data, Convertible Debt for the three prior quarters was $35.11 million (Q1 2023), $50.12 million (Q4 2022) and $64.79 million (Q3 2022).
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 |
|---|---|
| Jul 2, 2023 | 32.81 Mn |
| Apr 2, 2023 | 35.11 Mn |
| Dec 31, 2022 | 50.12 Mn |
| Oct 2, 2022 | 64.79 Mn |
| Jul 3, 2022 | 74.43 Mn |
| Apr 3, 2022 | 95.88 Mn |
| Dec 31, 2021 | 108.43 Mn |
| Oct 3, 2021 | 145.00 Mn |
| Jul 4, 2021 | 357.38 Mn |
| Apr 4, 2021 | 367.93 Mn |
| Dec 31, 2020 | 410.11 Mn |
| Sep 27, 2020 | 406.18 Mn |
| Jun 28, 2020 | 402.31 Mn |
| Mar 29, 2020 | 398.47 Mn |
| Dec 31, 2019 | 394.69 Mn |
| Sep 29, 2019 | 390.94 Mn |
| Jun 30, 2019 | 387.24 Mn |
| Mar 31, 2019 | 383.59 Mn |
| Dec 31, 2018 | 379.98 Mn |
| Sep 30, 2018 | 376.42 Mn |
API Access
Teradyne Convertible Debt 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=convertible-debt&ticker=TER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=TER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();