Kulicke and Soffa Industries logo
Kulicke and Soffa Industries KLIC
$ 99.09 3.43%
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Quarterly report 2026-Q3
added 08-06-2026

Kulicke and Soffa Industries Financial Ratios 2025-2008 | KLIC

Brief overview of Kulicke and Soffa Industries's market valuation

Current figures are compared with the company's own five-year history for 2020–2025.

Key multiples at the end of the period are EV/EBITDA 143.96x (median 22.41x), P/S 3.14x (median 3.14x), P/B 2.5x (median 2.5x). Current valuation broadly matches recent historical reference points; the difference from five-year medians is +6.3%.

Capital efficiency is characterized by ROE 0%, ROA 0%, ROCE -0.4%. Negative returns point to losses or poor capital efficiency. Valuation multiples are less informative in this setting.

The time from paying for inputs to receiving cash rose from 14.9 days to 107.7 days. Cash turnover slowed.

What the ratios show

Kulicke and Soffa Industries's multiples form a balanced picture without a clear discount or premium. Future appeal depends on earnings and return trends.

Annual Financial Ratios Kulicke and Soffa Industries

2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008

P/E

9653.7 -36.3 48.8 6.6 9.2 42.4 135.9 24.3 12.9 19.4 16.1 17.0 16.9 4.6 5.5 3.3 -7.3 -

P/S

3.1 3.5 3.8 1.9 2.2 3.6 2.9 1.5 2.0 1.5 1.5 1.9 1.9 0.9 0.9 - - -

EPS

0.0 -1.2 1.0 7.2 5.9 0.8 0.2 0.8 1.8 0.7 0.7 0.8 0.8 2.2 1.8 2.0 -0.7 -

EV (Enterprise Value)

2.12 B 2.57 B 2.59 B 2.68 B 3.53 B 2.33 B 1.53 B 1.36 B 1.48 B 697 M 451 M 636 M 628 M 478 M 588 M 551 M 161 M -145 M

EBITDA per Share

0.28 -1.22 1.2 8.17 6.97 1.25 0.636 2.64 1.79 0.991 0.743 1.17 1.11 2.6 2.56 2.36 -0.84 -

EV/EBITDA

144.0 -38.0 37.9 5.5 8.1 22.4 30.9 6.1 10.4 9.7 10.1 5.5 5.9 1.6 1.8 3.3 -3.1 -

PEG

743.89 -0.64 0.6 0.06 0.08 1.16 -1.74 -0.45 0.08 8.82 -0.9 3.73 -0.27 0.21 -0.56 - - -

P/B

2.5 2.7 2.4 2.4 3.1 2.9 2.1 1.6 1.8 1.2 1.1 1.4 1.4 1.2 1.5 1.5 - -

P/CF

18.1 80.7 16.1 7.3 11.3 23.5 29.2 13.4 14.6 15.1 10.5 14.8 12.9 4.3 3.7 5.5 -5.7 -

ROE %

0.03 -7.31 4.87 36.29 33.52 6.90 1.52 6.44 13.81 6.06 6.58 7.98 8.29 24.95 27.15 44.08 -24.36 -

ROA %

0.02 -5.56 3.81 27.29 22.92 4.96 1.08 4.78 10.77 4.93 5.60 6.67 6.88 19.69 17.52 24.50 - -

ROCE %

-0.39 -9.80 3.36 39.35 37.66 7.72 2.39 16.47 11.56 6.30 4.49 8.92 8.38 25.89 33.08 45.91 -43.05 -

Current Ratio

3.9 4.2 4.6 4.0 3.2 3.6 5.1 5.7 4.9 6.2 9.6 10.3 9.7 5.8 2.9 2.3 - -

DSO

- - - - - - 132.4 99.9 89.5 75.9 73.9 110.1 111.0 87.2 60.9 - - -

DIO

164.0 164.8 191.3 85.1 62.1 112.9 114.2 87.7 104.3 92.0 104.1 61.5 48.3 50.8 60.3 31.6 - -

DPO

56.3 45.1 55.4 53.6 47.2 53.0 46.9 36.9 43.9 44.1 33.6 43.4 46.9 49.3 29.9 35.2 - -

Operating Cycle

164.0 164.8 191.3 85.1 62.1 112.9 246.5 187.6 193.9 168.0 178.0 171.6 159.3 138.1 121.2 31.6 - -

Cash Conversion Cycle

107.7 119.7 135.8 31.5 14.9 59.9 199.6 150.6 150.0 123.9 144.4 128.2 112.4 88.8 91.3 -3.6 - -

All numbers in USD currency

Quarterly Financial Ratios Kulicke and Soffa Industries

2026-Q3 2026-Q2 2026-Q1 2025-Q4 2025-Q3 2025-Q2 2025-Q1 2024-Q4 2024-Q3 2024-Q2 2024-Q1 2023-Q4 2023-Q3 2023-Q2 2023-Q1 2022-Q4 2022-Q3 2022-Q2 2022-Q1 2021-Q4 2021-Q3 2021-Q2 2021-Q1 2020-Q4 2020-Q3 2020-Q2 2020-Q1 2019-Q4 2019-Q3 2019-Q2 2019-Q1 2018-Q4 2018-Q3 2018-Q2 2018-Q1 2017-Q4 2017-Q3 2017-Q2 2017-Q1 2016-Q4 2016-Q3 2016-Q2 2016-Q1 2015-Q4 2015-Q3 2015-Q2 2015-Q1 2014-Q4 2014-Q3 2014-Q2 2014-Q1 2013-Q4 2013-Q3 2013-Q2 2013-Q1 2012-Q4 2012-Q3 2012-Q2 2012-Q1 2011-Q4 2011-Q3 2011-Q2 2011-Q1

EPS

1.1 0.67 0.32 0.32 - -0.06 -1.59 1.52 - 0.22 -1.83 0.16 - 0.07 0.27 0.26 - 2.02 1.89 0.78 - 1.83 1.15 - 0.26 0.18 0.19 0.21 0.1 0.02 0.21 0.11 0.44 0.87 0.11 -0.99 0.58 0.49 -0.99 0.25 0.15 0.47 0.22 - 0.14 0.33 0.1 0.1 0.38 0.35 0.1 -0.03 0.39 0.25 -0.03 0.05 0.91 0.92 0.05 0.12 0.03 0.97 0.12

EBITDA per Share

1.53 0.89 0.42 0.42 - -0.05 -1.52 1.7 - 0.22 -1.77 0.17 - 0.04 0.31 0.31 - 2.14 2.17 0.96 - 2.1 1.39 - 0.61 0.33 0.22 0.29 0.36 0.18 0.29 0.29 0.57 1.07 0.29 0.62 0.76 0.33 0.62 0.32 0.24 0.68 0.3 - 0.21 0.33 0.16 0.17 0.62 0.5 0.17 0.01 0.65 0.38 0.01 0.12 1.12 1.14 0.12 225 0.49 1.25 0.19

ROE %

14.47 7.78 -6.10 0.26 -1.78 -0.52 -10.27 0.31 -8.08 -7.73 -7.72 3.67 2.87 12.73 22.57 32.37 31.13 42.82 39.47 31.35 20.28 21.75 11.63 5.12 6.86 6.51 6.78 6.95 6.09 5.23 4.36 3.50 -5.48 -1.88 1.03 -7.96 2.27 -0.86 -0.56 9.48 8.65 10.56 7.51 5.58 6.57 9.04 9.16 9.12 7.86 8.23 7.49 6.23 7.05 13.37 21.32 22.16 23.37 13.32 17.78 19.03 0.41 15.05 1.81

ROA %

10.33 5.68 -4.66 0.36 -1.15 -0.17 -7.79 0.22 -6.31 -6.03 -6.02 2.83 2.20 9.64 21.02 28.10 27.16 27.16 31.61 25.67 14.02 15.08 8.13 3.68 4.89 4.64 4.83 4.95 4.40 3.79 3.18 2.56 -4.10 -1.21 1.13 -5.51 2.24 -0.18 0.20 7.79 7.12 8.79 6.32 4.73 5.58 7.59 7.64 7.59 6.51 6.84 6.21 5.15 5.85 10.68 16.85 17.52 18.26 10.28 11.63 12.35 0.26 9.71 1.17

ROCE %

16.30 8.09 -6.21 0.54 -1.62 -0.77 -10.43 -0.49 -9.39 -9.78 -9.56 1.83 1.69 11.80 23.56 26.97 25.97 38.34 35.81 27.48 23.00 24.45 13.54 5.95 7.68 5.63 4.42 4.69 4.65 6.52 13.80 13.76 16.64 18.32 12.52 15.39 13.14 9.15 12.39 9.96 7.86 9.39 5.72 3.58 4.81 9.42 11.33 11.29 9.75 9.76 8.40 6.86 7.81 13.90 23.11 24.08 26.00 19.90 25.43 27.41 4.83 17.38 2.63

Current Ratio

3.2 3.6 3.9 3.9 3.9 3.9 4.1 4.5 4.2 4.4 4.5 4.6 4.6 4.5 4.5 4.2 4.0 - 3.7 3.4 3.2 3.2 3.2 - 3.6 3.6 3.6 3.3 3.5 3.5 3.5 4.0 3.9 3.9 3.9 3.9 4.7 4.7 3.8 5.8 5.4 5.6 5.6 - 6.7 6.7 6.7 6.8 6.1 6.1 6.1 6.9 5.9 5.9 5.9 6.5 4.7 4.7 4.7 3.2 2.8 2.8 2.8

DIO

114.7 142.1 160.0 152.6 - 180.9 127.8 209.4 - 167.6 122.3 226.8 - 204.5 223.6 206.8 - 53.3 84.2 91.1 - 64.0 39.8 - 43.2 125.9 116.0 113.9 38.6 119.3 122.8 124.5 27.6 74.1 122.8 89.6 35.0 80.3 74.6 96.1 30.5 68.5 49.0 - 33.4 82.9 78.0 88.0 23.5 47.5 74.4 83.3 17.8 46.2 103.5 82.7 19.4 40.5 86.6 93.6 19.3 41.6 -

DPO

53.5 57.3 62.5 57.1 - 58.3 36.5 62.2 - 48.8 32.3 54.0 - 48.7 57.6 65.0 - 25.2 47.4 76.1 - 59.6 36.8 - 22.3 65.0 57.5 50.4 15.9 49.0 51.3 52.6 11.6 31.2 61.5 44.6 14.7 42.0 44.9 49.5 14.6 32.8 23.5 - 10.8 26.8 31.5 54.1 16.6 33.6 49.5 66.2 17.3 44.9 64.2 56.6 18.8 39.2 55.8 39.2 9.6 20.7 -

Operating Cycle

- - - 152.6 - 180.9 127.8 209.4 - 167.6 122.3 226.8 - 204.5 223.6 206.8 - 53.3 84.2 91.1 - 64.0 39.8 - 43.2 125.9 116.0 113.9 38.6 119.3 122.8 124.5 27.6 74.1 122.8 89.6 35.0 80.3 74.6 96.1 30.5 68.5 49.0 - 33.4 82.9 78.0 88.0 23.5 47.5 74.4 83.3 17.8 46.2 103.5 82.7 19.4 40.5 86.6 93.6 19.3 41.6 -

Cash Conversion Cycle

- - - 95.5 - 122.7 91.3 147.2 - 118.8 90.0 172.8 - 155.8 166.0 141.7 - 28.1 36.8 15.1 - 4.3 3.0 - 20.9 61.0 58.5 63.5 22.7 70.2 71.5 72.0 16.0 42.9 61.3 45.0 20.2 38.3 29.7 46.6 15.9 35.7 25.5 - 22.6 56.1 46.5 33.8 6.9 13.9 24.9 17.1 0.5 1.3 39.3 26.1 0.6 1.2 30.8 54.4 9.7 20.9 -

All numbers in USD currency

Multiples are an important financial analysis tool for the company Kulicke and Soffa Industries, allowing investors and analysts to quickly assess the company’s value and investment attractiveness based on the ratio of market indicators to the company’s financial performance. Essentially, multiples express how the market values the company relative to its earnings, revenue, equity, or other key metrics.

Advantages of Using Financial Ratios
  • Simplified Data Analysis
    Financial ratios transform large volumes of accounting data into compact and easily interpretable indicators, significantly simplifying the assessment of the company’s condition.
  • Comparability Between Companies
    Multiples standardize financial metrics, enabling objective comparison of companies of different sizes, industries, and market capitalizations.
  • Identification of Trends and Issues
    Regular analysis of ratios helps track the dynamics of financial health, identify strengths and weaknesses of the business, as well as potential risks.
  • Decision Support
    Financial multiples serve as an important tool for investors, creditors, and company management in making investment, credit, and managerial decisions.
  • Accelerated Assessment of Investment Attractiveness
    Ratios allow quick determination of key performance, liquidity, and financial stability indicators, facilitating prompt evaluation of companies’ attractiveness for investments.

Using multiples enables comparison between companies, even if they differ in size or industry, as they standardize financial data into ratios convenient for analysis. This is especially useful for evaluating companies where direct analysis of financial statements may be complex or require in-depth knowledge.

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