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Winnebago Industries WGO
$ 31.82 -0.9%
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Quarterly report 2026-Q3
added 06-25-2026

Winnebago Industries Financial Ratios 2025-2009 | WGO

Brief overview of Winnebago Industries's valuation and returns

The comparison uses the five latest available annual observations between 2021 and 2025.

Key multiples at the end of the period are P/E 44.59x (median 7.96x), EV/EBITDA 16.14x (median 7.11x), P/S 0.41x (median 0.49x). On average, multiples differ from their five-year medians by only 0%. Valuation is near its familiar historical range.

The inverse P/E implies an earnings yield of 2.2%. This is not a dividend yield, but current earnings relative to market price.

End-period return metrics are ROE 2.1%, ROA 1.2%, ROCE 4.7%. Efficiency ratios are restrained, with capital and assets producing modest returns.

On PEG (1.41x), the market prices growth without an obvious discount or excessive premium.

The cash conversion cycle increased 29.7 days to 66.6 days, weakening working-capital efficiency.

What the ratios show

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

Annual Financial Ratios Winnebago Industries

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

P/E

 44.6 116.3 8.0 4.5 7.6 36.8 10.8 10.9 18.7 13.5 12.3 14.0 22.7 8.4 17.5 90.1 -

P/S

 0.4 0.5 0.5 0.4 0.6 1.0 0.6 0.6 0.9 0.6 0.5 0.7 0.9 0.6 0.4 - -

EPS

 0.9 0.4 7.1 12.0 8.4 1.9 3.5 3.2 2.3 1.7 1.5 1.6 1.1 1.5 0.4 0.1 -

EV (Enterprise Value)

 1.9 B 2.29 B 2.47 B 2.62 B 2.73 B 2.85 B 1.64 B 1.63 B 1.76 B 649 M 576 M 737 M 799 M 456 M 268 M 272 M -36.6 M

EBITDA per Share

 4.18 5.44 11.5 18.7 12.7 3.9 5.23 5.68 5.13 2.66 2.37 2.48 1.76 0.494 0.577 0.39 -

EV/EBITDA

 16.1 14.4 7.1 4.3 6.4 11.8 8.6 7.8 10.0 7.4 6.8 8.4 13.4 21.9 8.2 24.1 -

PEG

 1.41 3.72 0.2 0.09 0.13 2.23 1.13 0.28 0.49 1.29 -1.76 0.32 -0.88 0.03 1.12 - -

P/B

 0.9 1.2 1.3 1.4 2.0 2.7 1.9 2.1 3.0 2.3 2.3 3.3 4.2 2.6 1.9 - -

P/CF

 8.9 10.5 5.8 4.4 9.1 8.4 13.0 20.4 16.0 21.7 17.7 49.6 124.6 -179.9 -16.9 10.3 -

ROE %

 2.10 1.02 15.78 30.93 26.67 7.43 17.68 19.15 16.15 16.95 18.65 23.40 18.72 31.10 10.86 3.88 -

ROA %

 1.19 0.55 8.88 16.16 13.67 3.59 10.12 9.73 7.90 11.64 11.38 12.59 10.34 15.73 4.92 - -

ROCE %

 4.67 7.87 21.98 46.20 38.55 13.75 17.13 18.92 17.01 22.08 21.18 24.71 18.60 4.22 5.99 5.05 -

Current Ratio

 2.3 2.1 2.3 2.1 2.1 1.9 2.1 1.8 1.9 3.0 3.3 2.7 3.2 3.1 3.2 - -

DSO

 24.5 22.2 22.6 18.7 23.9 29.4 29.1 29.8 29.4 24.8 25.0 26.9 14.1 15.2 15.8 - -

DIO

 62.6 65.3 62.6 39.3 32.1 34.3 43.7 41.5 39.2 51.8 47.0 48.9 57.2 59.1 55.3 - -

DPO

 20.6 21.0 22.9 18.0 19.1 19.1 17.8 17.2 21.8 18.7 13.9 14.4 14.3 16.9 17.3 - -

Operating Cycle

 87.1 87.5 85.2 58.0 56.0 63.7 72.8 71.3 68.6 76.6 72.0 75.9 71.3 74.3 71.1 - -

Cash Conversion Cycle

 66.6 66.6 62.3 40.0 36.8 44.5 55.0 54.0 46.8 57.9 58.1 61.5 57.0 57.4 53.9 - -

All numbers in USD currency

Quarterly Financial Ratios Winnebago Industries

2026-Q3 2026-Q2 2026-Q1 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

 0.51 0.17 0.17 0.63 0.63 -0.02 -0.18 0.99 0.99 -0.43 0.87 1.95 1.95 1.73 1.98 9.35 3.62 2.75 2.99 5.89 2.12 2.06 1.71 1.26 -0.37 1.71 0.44 1.01 1.15 0.44 0.7 0.94 1.03 0.7 0.57 0.79 0.61 0.57 0.42 0.49 0.54 0.42 0.32 0.43 0.43 0.32 0.37 0.48 0.42 0.37 0.4 0.38 0.27 0.4 0.26 1.41 0.13 0.26 0.04 0.12 0.04 0.04

EBITDA per Share

 1.34 0.95 0.95 1.42 1.42 0.81 0.31 1.79 1.79 1.5 1.59 2.9 2.9 2.74 3.04 14.5 5.65 4.3 4.56 8.96 3.2 3.11 2.65 2.42 -0.12 2.65 0.86 1.73 1.67 0.86 1.13 1.66 1.6 1.13 1.05 1.61 1.16 1.05 0.72 0.86 0.82 0.72 0.52 0.75 0.68 0.47 0.57 0.77 0.65 0.57 0.61 0.66 0.44 0.61 0.39 0.35 0.21 0.39 0.07 0.2 0.12 0.07

ROE %

 3.40 3.67 3.25 2.44 3.19 3.95 3.02 5.35 7.49 9.63 14.54 17.30 37.35 42.28 45.87 49.79 44.12 41.90 41.69 39.69 26.11 17.63 16.89 12.09 12.00 19.14 14.34 16.54 17.07 17.43 19.79 19.74 19.81 18.11 18.03 17.05 16.31 17.30 16.19 16.74 17.15 16.97 17.89 19.44 20.84 21.54 22.80 23.92 23.43 22.01 23.41 22.31 44.37 42.60 41.18 37.05 12.04 10.42 6.26 3.26 1.10 0.95

ROA %

 2.00 2.12 1.66 2.62 1.27 0.45 1.54 4.21 3.02 5.47 8.50 20.16 22.54 20.09 24.04 26.04 22.88 21.51 20.91 19.62 12.51 8.33 8.33 6.01 6.34 10.34 8.22 9.47 9.50 9.31 10.18 9.97 9.90 8.96 8.84 8.23 8.83 10.38 9.72 10.80 10.68 10.16 11.24 11.62 11.99 11.99 12.34 13.09 12.91 12.21 13.06 12.05 22.92 21.82 20.79 18.71 5.89 5.01 2.85 1.48 0.50 0.43

ROCE %

 6.26 6.88 6.56 5.54 6.35 7.17 9.20 12.16 14.77 17.39 20.46 24.24 54.73 62.80 68.37 74.33 65.12 61.27 56.48 49.64 27.29 16.56 15.88 11.91 11.85 17.84 14.20 16.29 16.91 17.20 18.86 19.11 19.63 18.68 19.07 17.33 17.76 19.94 20.01 22.22 21.91 20.74 20.98 21.87 22.91 23.19 24.23 25.14 24.49 22.75 23.87 21.83 18.32 15.59 13.31 9.22 7.26 5.97 1.89 0.94 0.29 0.33

Current Ratio

 2.5 2.5 2.5 2.3 2.3 - 2.2 2.2 - 2.2 2.3 2.3 2.3 - 2.2 2.1 2.1 2.1 2.1 2.0 2.0 2.0 - 1.9 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

DSO

 26.7 30.9 32.3 28.6 14.3 12.6 27.0 11.6 13.6 27.4 23.5 20.8 10.4 10.7 21.9 7.6 23.6 25.2 20.4 8.9 24.1 26.4 26.0 27.3 50.1 22.3 25.2 27.2 27.3 31.5 28.2 28.0 26.7 27.4 24.5 25.0 23.9 25.4 27.5 22.9 22.2 23.3 26.9 24.3 22.9 27.6 26.9 25.9 25.7 22.9 14.8 12.4 12.2 11.0 11.2 12.8 13.3 8.8 12.0 14.0 13.4 -

DIO

 63.7 65.0 70.7 65.2 32.6 37.0 72.9 30.2 31.8 73.2 71.3 63.1 31.5 35.0 62.2 15.1 36.8 43.4 38.1 14.6 39.4 40.4 31.0 11.7 45.1 31.0 41.6 14.9 41.5 35.1 41.7 14.1 37.4 37.5 34.6 - - - - - - - - - - - - - - - - - - - - - - - - - - -

DPO

 18.9 21.8 21.2 17.5 8.8 9.7 20.6 9.2 9.4 19.9 18.1 16.2 8.1 8.4 20.2 6.7 17.0 18.2 17.1 7.7 20.8 20.3 17.8 8.5 32.6 15.7 15.6 6.0 16.8 14.4 17.4 5.8 15.5 17.0 18.3 - - - - - - - - - - - - - - - - - - - - - - - - - - -

Operating Cycle

 - - 103.0 - 86.7 - 104.5 - - 100.5 94.8 - 41.9 45.7 84.1 22.7 60.4 68.6 58.6 23.6 63.5 66.7 57.0 39.0 95.1 53.4 66.8 42.1 68.8 66.7 70.0 42.1 64.1 64.9 59.1 25.0 23.9 25.4 27.5 22.9 22.2 23.3 26.9 24.3 22.9 27.6 26.9 25.9 25.7 22.9 14.8 12.4 12.2 11.0 11.2 12.8 13.3 8.8 12.0 14.0 13.4 -

Cash Conversion Cycle

 - - 81.8 - 70.2 - 83.6 - - 80.6 76.8 - 33.8 37.3 63.9 16.0 43.4 50.4 41.5 15.9 42.7 46.5 39.2 30.5 62.5 37.7 51.1 36.0 51.9 52.2 52.6 36.2 48.5 47.9 40.8 25.0 23.9 25.4 27.5 22.9 22.2 23.3 26.9 24.3 22.9 27.6 26.9 25.9 25.7 22.9 14.8 12.4 12.2 11.0 11.2 12.8 13.3 8.8 12.0 14.0 13.4 -

All numbers in USD currency

Multiples are an important financial analysis tool for the company Winnebago 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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