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BorgWarner BWA
$ 64.33 0.19%
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Quarterly report 2026-Q1
added 05-06-2026

BorgWarner Financial Ratios 2025-2006 | BWA

Brief overview of BorgWarner 's market valuation

The review covers five available annual periods spanning 2021 to 2025.

Key multiples at the end of the period are P/E 51.39x (median 19.29x), EV/EBITDA 16x (median 10.64x), P/S 0.99x (median 0.88x). Valuation is 50.3% above five-year reference levels. The premium requires support from earnings and returns.

Earnings yield calculated as 1/P/E is about 1.9%, showing current profit per unit of share price.

Returns on assets and capital are represented by ROE 5.1%, ROA 2%, ROCE 9.8%. Low capital returns limit the ability to compound value internally.

The cash cycle accelerated by 30.9 days to 112.5 days. Less capital is tied up in operations.

Overall picture

BorgWarner 's valuation is above historical references while efficiency remains restrained, increasing sensitivity to weak reports.

Annual Financial Ratios BorgWarner

2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006

P/E

51.4 20.1 11.7 12.1 19.3 17.5 9.7 9.1 27.1 72.7 10.6 18.6 19.8 16.9 14.8 4.9 65.7 -72.8 7.4 -

P/S

1.0 0.5 0.5 0.9 0.9 0.9 0.7 0.8 1.2 0.9 0.8 1.5 1.7 1.2 1.1 - - - - -

EPS

1.3 1.5 2.7 4.0 2.2 2.4 3.6 4.5 2.1 2.8 2.6 2.9 2.7 2.2 2.5 3.3 0.2 -0.3 2.5 -

EV (Enterprise Value)

20.1 B 13 B 14.1 B 19.6 B 17.8 B 16.4 B 11.3 B 13.4 B 17.4 B 13.7 B 11.1 B 15 B 14.7 B 11 B 11.3 B 1.38 B 1.42 B 2.49 B 1.95 B -123 M

EBITDA per Share

5.86 5.45 7.48 6.63 6.25 5.57 8.08 8.26 7.74 7.1 6.09 6.12 5.31 4.92 4.94 6.63 2.68 2.3 5.7 -

EV/EBITDA

16.0 10.6 8.1 12.5 9.2 11.5 5.0 5.7 8.3 6.8 6.1 8.8 10.4 8.0 8.3 1.8 4.5 9.3 2.9 -

PEG

22.36 -3.71 -27.69 -7.27 -18.15 -93.46 -0.51 0.08 0.1 -0.91 -2.63 3.25 0.86 -1.38 0.29 - - - - -

P/B

2.5 1.2 1.2 1.5 1.4 1.3 1.5 1.9 3.1 2.6 1.8 3.3 3.4 2.7 3.3 0.3 0.4 0.6 - -

P/CF

- - - 7.3 - 7.4 13.7 14.5 19.2 16.1 22.2 51.2 41.1 18.0 26.0 3.4 5.1 6.5 3.5 -

ROE %

5.09 6.11 10.72 13.07 7.73 7.78 15.40 21.42 11.50 3.59 16.79 17.77 17.19 15.92 22.43 16.71 1.24 -1.77 - -

ROA %

2.01 2.42 4.32 5.55 3.24 3.12 7.69 9.22 4.49 1.34 6.90 9.07 9.03 7.83 9.23 6.79 0.56 -0.77 - -

ROCE %

9.85 9.87 19.90 13.97 13.15 9.61 16.66 16.73 16.59 16.54 15.66 20.84 17.23 17.09 19.48 22.33 2.32 0.36 - -

Current Ratio

1.7 1.7 1.7 1.8 1.8 1.7 1.6 1.6 1.5 1.4 1.3 1.4 1.7 1.5 1.1 - - - - -

DSO

74.0 77.1 71.7 77.5 89.9 86.9 69.0 68.9 75.2 68.0 75.7 63.4 61.3 58.3 60.7 - - - - -

DIO

38.5 40.9 39.7 48.9 53.4 46.3 36.5 34.3 36.4 32.8 41.8 28.2 28.4 28.6 29.1 - - - - -

DPO

- - 42.1 47.7 - - 60.0 65.3 73.5 67.7 70.8 54.6 58.1 54.6 55.6 - - - - -

Operating Cycle

112.5 118.0 111.4 126.5 143.4 133.2 105.5 103.2 111.6 100.8 117.5 91.6 89.7 86.9 89.8 - - - - -

Cash Conversion Cycle

112.5 118.0 69.3 78.7 143.4 133.2 45.5 37.9 38.2 33.1 46.8 37.0 31.6 32.3 34.1 - - - - -

All numbers in USD currency

Quarterly Financial Ratios BorgWarner

2026-Q1 2025-Q3 2025-Q2 2025-Q1 2024-Q3 2024-Q2 2024-Q1 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 2010-Q3 2010-Q2 2010-Q1 2009-Q3 2009-Q2

EPS

1.18 0.74 1.04 0.72 1.04 1.34 0.91 0.21 0.88 0.93 - 1.17 0.91 0.84 - 0.4 1.03 0.27 - 0.54 -0.47 0.63 1.07 0.94 0.84 0.77 1.11 0.98 1.3 1.07 -0.7 0.88 1.01 0.89 0.86 0.4 0.76 0.75 0.57 0.7 0.66 0.79 0.62 0.73 0.84 0.7 0.62 0.73 0.76 0.62 0.52 0.44 0.54 0.73 1.12 1.3 1.49 1.13 0.95 0.72 0.65 0.15 -0.31

EBITDA per Share

2.34 2.19 2.16 1.8 1.29 2.02 1.95 1.24 1.5 1.71 - 1.2 1.26 2.14 - 3.25 1.33 2.52 - 3.02 0.71 1.51 2.32 2.92 2.43 1.8 1.28 2.91 2.55 2.11 0.99 2.75 2.35 1.84 1.38 2.08 2.15 1.65 0.91 2.11 1.78 1.49 0.94 2.04 1.9 1.35 0.82 1.88 1.66 1.16 0.74 3.09 2.86 2.67 1.76 3.55 3.25 2.17 2.61 2.01 1.41 1.72 0.55

ROE %

13.58 12.97 15.30 15.05 13.17 12.07 10.01 10.51 12.48 11.23 8.31 12.03 8.00 9.02 6.18 7.91 4.94 3.23 2.21 6.88 9.28 14.46 15.85 16.62 17.32 20.11 22.03 12.65 12.80 12.07 11.83 21.43 19.07 18.48 18.49 16.35 18.16 17.22 17.16 17.50 17.68 18.77 18.14 18.24 18.32 17.95 17.53 17.49 16.09 15.11 16.25 17.43 20.08 22.95 23.04 22.66 20.83 17.51 13.10 6.62 3.46 0.80 -1.74

ROA %

5.55 5.33 6.38 6.29 5.51 5.14 4.26 4.50 5.34 4.75 3.48 4.94 3.25 3.65 2.45 3.15 1.95 1.29 0.89 3.15 4.46 6.84 7.69 7.70 7.72 8.64 9.22 5.45 5.32 4.79 4.49 8.05 7.12 6.81 6.73 6.03 6.86 6.68 6.85 7.42 7.95 8.90 9.07 9.18 9.29 9.17 9.03 8.87 8.04 7.41 7.83 7.98 8.78 9.61 9.23 9.10 8.39 7.20 5.47 2.78 1.53 0.36 -0.78

ROCE %

19.30 17.55 18.28 18.45 19.03 19.05 17.86 16.72 17.00 16.39 12.71 17.48 13.57 19.90 14.90 19.32 14.30 12.61 6.29 16.44 17.89 25.16 27.69 23.83 24.54 25.89 28.16 27.46 28.27 28.88 28.84 32.35 29.67 30.02 30.39 26.93 28.89 27.35 26.44 26.67 26.57 27.51 26.65 26.05 25.82 24.89 24.02 24.28 23.24 22.68 24.42 26.89 29.93 33.21 33.40 30.85 28.34 23.62 17.39 9.54 4.84 1.29 -2.41

Current Ratio

1.7 1.7 1.7 1.7 1.7 1.8 1.8 1.7 1.8 1.8 1.8 1.8 - 1.8 1.8 1.7 1.7 - 1.7 1.7 1.7 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

DSO

82.0 82.0 79.5 82.5 83.7 81.0 84.3 90.8 92.2 92.9 - 47.6 38.4 71.4 - 79.5 75.5 69.1 - 105.1 186.8 96.9 68.5 70.3 68.7 69.5 70.5 73.2 67.3 65.7 71.2 76.2 77.1 70.3 13641.5 -12431.3 15262.2 67.5 12985.6 80.6 74.8 71.5 11453.9 64.8 60.0 58.9 9262.2 63.1 60.1 59.0 10469.1 61.8 56.4 55.6 10583.2 60.2 59.4 59.3 - - - - -

DIO

38.8 38.1 36.8 40.8 43.6 41.5 41.1 49.0 55.8 56.7 - 28.9 24.6 46.4 - 53.0 44.6 37.9 - 58.2 93.7 52.1 36.6 37.4 36.1 35.4 35.1 36.3 33.7 32.2 34.6 36.9 37.1 33.8 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

DPO

- - - - - - - - - - - - - - - - - - - - - 33.0 30.0 - - 33.1 33.4 - - 32.2 34.9 - - 30.4 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Operating Cycle

- - 116.4 123.3 127.3 122.5 125.4 139.8 148.1 149.6 - 76.4 63.0 117.8 - 132.6 120.1 107.0 - 163.3 280.5 149.0 105.1 107.8 104.8 104.9 105.6 109.5 101.0 97.9 105.8 113.2 114.2 104.1 13641.5 -12431.3 15262.2 67.5 12985.6 80.6 74.8 71.5 11453.9 64.8 60.0 58.9 9262.2 63.1 60.1 59.0 10469.1 61.8 56.4 55.6 10583.2 60.2 59.4 - - - - - -

Cash Conversion Cycle

- - 116.4 123.3 127.3 122.5 125.4 139.8 148.1 149.6 - 76.4 63.0 117.8 - 132.6 120.1 107.0 - 163.3 280.5 116.0 75.0 107.8 104.8 71.8 72.2 109.5 101.0 65.7 70.9 113.2 114.2 73.7 13641.5 -12431.3 15262.2 67.5 12985.6 80.6 74.8 71.5 11453.9 64.8 60.0 58.9 9262.2 63.1 60.1 59.0 10469.1 61.8 56.4 55.6 10583.2 60.2 59.4 - - - - - -

All numbers in USD currency

Multiples are an important financial analysis tool for the company BorgWarner , 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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