Teradyne Inc (TER)

Debt-to-capital ratio

Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
Long-term debt US$ in thousands 0 89,244 376,768 406,178 402,305 398,466 394,687 390,942 387,243 383,590
Total stockholders’ equity US$ in thousands 2,525,900 2,441,300 2,434,880 2,449,460 2,451,290 2,254,120 2,298,600 2,474,530 2,562,440 2,537,490 2,493,260 2,324,550 2,207,020 1,993,540 1,744,550 1,550,670 1,480,160 1,482,640 1,479,410 1,470,230
Debt-to-capital ratio 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.03 0.00 0.00 0.00 0.15 0.17 0.19 0.20 0.21 0.21 0.21 0.21

December 31, 2023 calculation

Debt-to-capital ratio = Long-term debt ÷ (Long-term debt + Total stockholders’ equity)
= $—K ÷ ($—K + $2,525,900K)
= 0.00

The debt-to-capital ratio of Teradyne, Inc. has been consistently decreasing over the past eight quarters, indicating a positive trend in the company's capital structure. In Q4 2023, the ratio was 0.00, suggesting that the company had no debt in relation to its total capital. This signifies a strong financial position and lower risk associated with debt obligations.

The gradual decline in the debt-to-capital ratio from 0.04 in Q1 2022 to 0.00 in Q4 2023 reflects Teradyne's efficient management of debt and capital allocation. A lower debt-to-capital ratio generally implies that the company relies less on debt financing and has a higher proportion of equity in its capital structure.

Overall, the decreasing trend in Teradyne's debt-to-capital ratio indicates improving financial health, reduced financial risk, and potentially better access to credit at favorable terms. It suggests that the company has been successful in maintaining a balanced capital structure and managing its debt levels prudently over the quarters analyzed.


Peer comparison

Dec 31, 2023


See also:

Teradyne Inc Debt to Capital (Quarterly Data)