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Old Dominion Freight Line logo
Old Dominion Freight Line ODFL
$ 188.9 0.3%
report update icon

Quarterly report 2026-Q2
added 08-05-2026

Old Dominion Freight Line Financial Ratios 2025-2007 | ODFL

Brief overview of Old Dominion Freight Line's market valuation

Current figures are compared with the company's own five-year history for 2021–2025.

The current valuation set is P/E 40.41x (median 40.41x), EV/EBITDA 24.57x (median 25.48x), P/S 7.53x (median 7.89x). The combined ratio level is close to the company's five-year norm at a -4.6% deviation. No clear premium or discount is visible.

The 1/P/E calculation produces a 2.5% earnings yield. It does not capture future growth or capital structure.

End-period return metrics are ROE 23.7%, ROA 18.7%, ROCE 27.3%. Returns on capital and assets point to efficient economics and a strong internal source of growth.

On PEG (11.43x), valuation is stretched relative to growth and requires strong execution.

The cash conversion cycle remains near its former level at 21.6 days after 24 days.

Overall assessment

Old Dominion Freight Line's profile looks neutral, with price and fundamental efficiency broadly aligned.

Annual Financial Ratios Old Dominion Freight Line

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

P/E

 40.4 32.7 78.6 55.7 40.1 34.1 26.6 18.9 26.1 25.1 15.4 22.6 22.7 18.9 17.0 5.7 7.3 3.6 -

P/S

 7.5 6.7 16.6 12.3 7.9 5.7 4.0 2.8 3.6 2.5 1.6 2.2 2.0 1.5 1.3 - - - -

EPS

 4.9 5.5 5.7 6.1 8.9 5.7 5.1 4.9 5.6 3.6 3.6 3.1 2.4 2.0 1.6 0.9 0.6 1.2 -

EV (Enterprise Value)

 42.4 B 39.9 B 98.2 B 77.7 B 42.1 B 23.6 B 16.9 B 12.1 B 12.7 B 8.27 B 5.45 B 6.75 B 5.35 B 3.87 B 2.95 B 999 M 816 M 221 M -6.33 M

EBITDA per Share

 8.2 8.77 8.98 9.42 14.3 9.92 8.91 8.52 6.33 5.4 5.18 4.55 3.6 3.06 2.61 2.6 2.95 3.86 -

EV/EBITDA

 24.6 21.1 50.0 36.7 25.5 18.6 14.9 10.8 15.4 11.2 7.2 10.5 10.4 8.6 7.6 4.6 4.9 1.0 -

PEG

 -56.27 11.43 18.6 4.61 1.8 2.37 7.01 0.61 0.45 -78.97 1.01 0.76 1.06 0.89 0.21 - - - -

P/B

 9.6 9.1 22.9 21.0 11.3 6.9 5.3 4.3 5.3 4.0 2.8 4.0 3.8 3.1 2.8 0.6 0.4 - -

P/CF

 30.2 23.4 62.1 45.3 34.2 24.6 32.4 36.7 78.4 50.4 51.0 251.8 85.0 -70.8 87.3 3.1 1.9 1.2 -

ROE %

 23.75 27.94 29.11 37.70 28.11 20.22 19.98 22.60 20.37 15.98 18.09 17.91 16.73 16.52 16.28 11.31 5.88 12.30 -

ROA %

 18.71 21.60 22.49 28.46 21.45 15.40 15.41 17.08 15.11 10.97 12.35 11.96 10.67 9.89 9.22 6.10 3.01 - -

ROCE %

 27.30 31.19 33.03 42.72 31.94 22.69 22.56 25.62 21.19 20.10 22.84 22.28 19.91 19.18 18.69 12.87 6.96 23.13 -

Current Ratio

 4.7 4.4 4.4 4.1 4.2 4.2 2.4 2.0 1.7 1.3 1.3 1.7 1.4 1.2 1.6 2.2 2.0 - -

DSO

 32.3 33.9 36.0 33.4 35.1 38.3 36.3 42.3 45.2 40.8 42.4 45.5 40.3 38.1 42.3 - - - -

DPO

 10.7 13.9 15.2 12.7 11.2 12.3 8.7 9.9 10.8 14.5 11.0 7.9 7.5 10.0 31.9 12.9 7.1 - -

Operating Cycle

 32.3 33.9 36.0 33.4 35.1 38.3 36.3 42.3 45.2 40.8 42.4 45.5 40.3 38.1 42.3 - - - -

Cash Conversion Cycle

 21.6 20.0 20.8 20.7 24.0 25.9 27.5 32.4 34.4 26.3 31.4 37.7 32.9 28.1 10.4 -12.9 -7.2 - -

All numbers in USD currency

Quarterly Financial Ratios Old Dominion Freight Line

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 2010-Q3 2010-Q2

EPS

 1.69 1.14 1.29 1.27 1.2 - 1.44 1.49 1.34 - 1.55 1.33 1.3 - 3.38 3.33 2.62 - 2.48 2.33 1.71 - 1.72 1.26 1.12 1.81 1.37 1.44 1.1 1.96 2.12 1.99 1.33 2.4 1.24 1.2 0.8 0.83 1.03 0.98 0.72 0.85 0.99 1 0.73 0.81 0.9 0.86 0.53 0.55 0.7 0.68 0.47 0.46 0.59 0.56 0.36 0.46 0.45 0.69 0.38 0.44 0.58

EBITDA per Share

 2.68 1.97 2.16 2.13 2.01 - 2.28 2.34 2.16 - 2.42 2.15 2.09 - 5.06 5.1 4.13 - 3.89 3.71 2.86 - 2.86 2.25 2.09 1.58 2.35 2.46 1.99 2.69 3.5 3.37 2.47 1.74 2.62 2.56 1.92 1.38 2.25 2.16 1.72 1.35 2.14 2.11 1.66 1.3 1.9 1.83 1.32 0.89 1.52 1.49 1.11 0.78 1.27 1.27 0.93 0.73 1.06 1.51 1.05 1.12 1.6

ROE %

 25.83 24.13 26.11 27.58 27.88 21.86 30.21 30.45 30.23 23.59 34.19 36.42 37.35 29.74 38.12 35.44 31.11 22.55 28.62 24.68 20.76 14.52 19.19 18.45 19.66 19.98 21.25 22.40 22.84 22.60 25.31 23.33 21.56 20.37 15.41 15.54 15.61 15.98 16.56 16.95 17.63 18.09 18.48 18.68 18.55 17.91 17.06 16.72 16.51 16.73 16.75 16.84 16.78 16.52 17.32 16.86 16.80 16.28 15.40 14.34 2.52 3.77 3.46

ROA %

 20.08 18.60 20.08 21.19 21.52 16.89 23.29 23.47 23.20 18.03 25.87 25.81 26.15 20.40 26.35 18.51 23.09 16.74 21.36 18.53 15.63 11.05 14.66 14.25 15.23 15.51 16.41 17.08 17.34 17.08 19.01 17.46 16.05 15.11 11.23 11.07 10.88 10.97 11.36 11.60 12.05 12.35 12.59 12.65 12.49 12.00 11.28 10.91 10.62 10.67 10.53 10.40 10.18 9.89 10.23 9.80 9.61 9.22 8.58 7.82 1.43 2.00 1.79

ROCE %

 29.57 27.48 29.46 31.00 31.48 24.63 34.00 34.50 34.43 26.85 38.75 43.68 44.72 35.98 45.38 42.53 35.25 25.46 32.22 27.80 23.36 16.33 21.52 20.69 22.16 22.50 24.17 25.40 25.86 25.62 24.04 22.91 21.90 21.19 20.63 20.30 19.94 20.10 20.61 21.31 22.23 22.84 23.38 23.34 23.07 22.37 21.13 20.53 20.07 19.91 19.93 19.60 19.41 19.18 19.48 19.25 18.64 17.89 17.52 16.22 2.90 4.47 3.91

Current Ratio

 4.8 4.5 4.4 4.2 4.4 4.4 4.3 4.3 4.5 4.4 4.3 4.3 4.1 4.1 3.8 - 3.9 4.2 3.9 4.0 3.8 4.2 4.2 4.2 4.2 4.4 4.0 4.4 4.4 4.1 4.1 4.1 4.1 3.9 3.9 3.9 3.9 3.2 3.2 3.2 3.2 3.1 3.1 3.1 3.1 3.1 3.0 3.0 3.0 2.8 2.8 2.8 2.8 2.5 2.5 2.5 2.5 2.3 2.3 2.3 2.3 2.1 2.1

DSO

 33.4 36.3 34.0 34.9 34.8 - 34.9 35.3 36.3 - 35.4 35.8 36.2 - 17.9 18.3 37.7 - 37.2 36.1 38.1 - 38.3 45.3 38.9 37.2 35.8 34.2 38.0 38.0 36.9 37.8 40.5 40.4 41.2 42.8 43.2 - - - - - - - - - - - - - - - - - - - - - - - - - -

DPO

 11.6 12.6 11.5 11.5 12.2 - 14.2 14.0 14.4 - 14.6 15.4 15.8 - 8.1 7.6 13.4 - 15.9 13.4 13.1 - 11.9 13.6 12.1 - 13.0 12.0 13.0 - 13.3 13.7 13.9 - 14.6 15.2 17.9 - 19.1 19.9 17.8 - 15.0 15.7 13.9 - 11.4 12.2 12.0 - 11.1 11.7 13.8 - 15.1 15.3 15.4 - 15.5 16.1 15.1 13.2 -

Operating Cycle

 - - 34.0 34.9 34.8 - 34.9 35.3 36.3 - 35.4 35.8 36.2 - 17.9 18.3 37.7 - 37.2 36.1 38.1 - 38.3 45.3 38.9 37.2 35.8 34.2 38.0 38.0 36.9 37.8 40.5 40.4 41.2 42.8 43.2 - - - - - - - - - - - - - - - - - - - - - - - - - -

Cash Conversion Cycle

 - - 22.5 23.4 22.5 - 20.7 21.3 21.9 - 20.8 20.4 20.4 - 9.8 10.7 24.2 - 21.3 22.7 25.0 - 26.4 31.7 26.9 37.2 22.9 22.2 25.0 38.0 23.5 24.0 26.7 40.4 26.6 27.6 25.4 - -19.1 -19.9 -17.8 - -15.0 -15.7 -13.9 - -11.4 -12.2 -12.0 - -11.1 -11.7 -13.8 - -15.1 -15.3 -15.4 - -15.5 -16.1 - - -

All numbers in USD currency

Multiples are an important financial analysis tool for the company Old Dominion Freight Line, 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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