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Universal Logistics Holdings logo
Universal Logistics Holdings ULH
$ 29.41 -1.87%
report update icon

Quarterly report 2026-Q2
added 08-13-2026

Universal Logistics Holdings Financial Ratios 2025-2008 | ULH

Brief overview of Universal Logistics Holdings's valuation multiples

The review covers five available annual periods spanning 2020 to 2024.

The current valuation set is P/E 3.22x (median 6.22x), EV/EBITDA 4.78x (median 2.6x), P/S 0.27x (median 0.27x). Valuation is roughly 38.6% below five-year reference levels. The discount may reflect opportunity or higher perceived risk.

At the current P/E, inverse earnings yield is 31%, a useful bridge between price and business earnings.

Returns on assets and capital are represented by ROE -18.5%, ROA -5.6%, ROCE -4.4%. Returns below zero mean resources are not producing positive profit. Recovery in operating results is the main reference point.

PEG of 0.12x shows valuation is not outpacing embedded growth. The conclusion depends on earnings durability.

The cash conversion cycle lengthened from -15.1 days to 37.6 days, or 52.7 days. More cash is tied up in operations.

Overall picture

Universal Logistics Holdings's valuation is lower, but weak quality metrics call for caution. Recovery in earnings and capital returns is the key catalyst.

Annual Financial Ratios Universal Logistics Holdings

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

P/E

 -4.2 3.2 9.8 4.3 6.2 11.7 13.0 11.1 23.6 17.3 9.4 15.6 17.7 11.8 17.5 11.3 51.1 -

P/S

 0.3 0.2 0.5 0.4 0.3 0.4 0.3 0.4 0.5 0.4 0.3 0.6 0.9 0.5 0.4 0.6 0.5 -

EPS

 -3.8 4.9 3.5 6.4 2.7 1.8 1.3 1.8 1.0 0.8 1.4 1.5 1.7 1.6 1.7 1.5 0.3 -

EV (Enterprise Value)

 392 M 399 M 897 M 671 M 444 M 556 M 1.26 B 1.21 B 1.1 B 840 M 744 M 1.09 B 1.27 B 829 M 338 M 505 M 248 M -28.8 M

EBITDA per Share

 3.11 12.4 8.46 12 6.33 5.72 4.99 4.87 2.54 2.93 3.7 3.79 3.47 2.91 2.31 2.3 1.21 -

EV/EBITDA

 4.8 1.2 4.0 2.1 2.6 6.6 6.7 7.1 12.6 8.1 5.5 8.2 10.8 8.1 7.7 7.2 12.8 -

PEG

 -0.49 0.12 0.56 0.1 0.29 0.79 -0.48 0.13 1.43 -0.46 -1.0 -1.54 2.99 0.21 0.67 - - -

P/B

 0.2 0.2 0.7 0.6 0.4 0.5 2.4 2.8 3.9 2.8 2.9 5.2 8.5 9.8 1.7 1.7 - -

P/CF

 2.3 3.7 4.3 3.4 5.5 5.7 10.1 20.5 32.4 -14.6 7.3 36.1 22.1 13.8 21.1 11.0 10.9 -

ROE %

 -18.48 20.08 17.46 37.73 24.40 20.09 18.32 24.93 16.68 16.41 30.52 33.08 47.91 83.12 9.75 54.17 7.79 -

ROA %

 -5.64 7.27 7.41 14.01 6.48 4.53 3.80 6.19 4.61 4.25 7.83 8.58 10.32 14.57 6.91 15.50 - -

ROCE %

 -4.43 13.70 14.65 26.23 12.48 10.17 8.88 13.47 6.13 10.94 20.56 19.48 21.71 30.92 14.07 58.33 14.34 -

Current Ratio

 - - - - - - 1.1 1.2 1.1 1.4 1.4 1.9 2.0 1.6 2.0 - - -

DSO

 65.0 57.5 70.1 62.7 62.6 61.6 55.8 60.0 57.4 55.3 51.3 51.0 53.8 49.0 39.2 14.7 - -

DIO

 4.8 6.5 8.0 8.9 9.0 8.3 2.0 1.9 1.8 3.4 3.3 3.0 - - - - - -

DPO

 32.2 38.8 50.9 71.9 86.7 102.6 25.3 26.3 28.4 25.7 17.6 21.1 19.8 23.3 22.9 - - -

Operating Cycle

 69.8 64.0 78.1 71.6 71.6 70.0 57.8 61.9 59.2 58.7 54.6 54.0 53.8 49.0 39.2 14.8 - -

Cash Conversion Cycle

 37.6 25.1 27.3 -0.3 -15.1 -32.6 32.5 35.7 30.8 33.0 36.9 33.0 34.0 25.7 16.3 14.8 - -

All numbers in USD currency

Quarterly Financial Ratios Universal Logistics Holdings

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

 0.32 -0.13 - -2.84 0.32 0.23 - 1.01 1.17 1.99 - 0.88 0.9 0.95 - 1.84 1.69 1.56 - 0.38 0.95 0.8 0.6 0.5 0.23 0.45 0.32 -0.3 0.7 0.61 0.32 0.53 0.62 0.37 0.86 -0.12 0.1 0.15 0.1 0.18 0.32 0.26 0.33 0.32 0.44 0.27 0.35 0.44 0.45 0.27 0.38 0.46 0.47 0.38 0.08 0.5 0.52 0.48 0.36 0.35 0.25 0.19

EBITDA per Share

 2.13 1.53 - -1.47 2.13 1.94 - 2.77 3.19 3.64 - 2.14 2.11 2.16 - 3.23 3.47 2.76 - 1.23 1.77 1.87 0.87 1.45 1.09 1.6 0.57 0.41 1.7 1.53 0.63 1.29 1.39 1.03 0.46 0.29 0.63 0.69 0.21 0.67 0.91 0.79 0.65 0.89 1.06 0.8 0.63 1.05 1.08 0.74 0.64 0.9 0.95 0.81 0.45 0.78 0.79 0.73 0.49 0.73 0.58 0.43

ROE %

 -11.38 -11.38 -10.73 -6.53 11.46 19.17 18.24 22.75 23.36 23.63 14.65 26.33 33.99 41.76 36.45 40.02 37.42 33.58 20.99 27.76 29.86 23.35 20.09 17.58 7.81 14.96 18.32 18.37 29.66 28.37 24.93 35.08 25.93 19.11 16.68 4.07 9.41 13.91 16.41 21.67 25.34 29.35 30.52 31.09 33.58 33.38 33.08 36.12 39.59 43.05 47.91 41.47 54.69 68.73 83.12 90.11 67.22 42.20 18.83 3.35 2.43 1.79

ROA %

 -3.53 -3.54 -3.33 -1.63 4.58 7.92 7.58 9.41 9.61 9.54 5.75 9.79 11.72 13.34 11.33 12.24 10.57 8.87 5.34 6.86 7.22 5.44 4.53 3.88 1.75 3.19 3.80 3.99 6.63 6.70 6.19 9.11 6.79 5.14 4.61 1.09 2.51 3.65 4.25 5.62 6.58 7.61 7.90 8.04 8.67 8.64 8.58 8.89 9.22 9.53 10.32 8.76 10.56 12.48 14.57 17.20 14.86 11.76 8.62 2.25 1.72 1.27

ROCE %

 -2.08 -2.29 -2.63 0.76 9.77 15.41 14.35 18.13 18.57 18.63 11.70 19.51 23.04 26.15 22.06 24.07 20.14 16.84 9.90 12.88 13.67 11.16 10.17 9.27 5.48 8.28 8.85 9.65 14.27 14.32 13.47 13.78 9.31 6.65 6.13 4.31 7.51 9.89 10.94 14.85 17.34 19.85 20.82 20.06 20.75 20.19 19.48 19.87 20.10 20.29 21.71 22.89 25.56 28.09 30.92 32.14 28.55 23.47 17.90 4.86 3.53 2.21

DSO

 60.1 67.7 - 61.2 59.5 66.0 - 62.9 56.1 52.7 - 67.7 71.8 71.3 - 70.7 68.6 64.0 - 62.6 59.3 57.5 61.3 64.8 91.7 56.1 51.1 51.2 50.1 51.6 51.0 52.7 53.9 52.7 49.7 49.9 51.1 50.6 50.0 48.6 47.7 50.1 45.1 45.4 43.7 50.6 45.6 45.6 44.8 46.2 46.4 46.0 45.6 46.1 41.9 42.2 41.0 41.3 34.5 36.4 37.9 -

DIO

 5.1 4.5 - - - - - - - - - - - - - - - 4.7 - - - 3.5 - - - 3.4 - - - 3.3 - - - 2.8 - - - 5.2 - - - 6.1 - - - 7.3 - - - 3.1 - - - - - - - - - - - -

DPO

 30.7 29.0 - 36.8 41.5 38.2 - 52.7 49.8 44.7 - 54.3 53.0 56.0 - 81.2 89.7 82.9 - 83.7 83.4 83.3 - 100.5 155.1 88.9 - 91.2 89.5 90.1 - 96.3 96.1 93.6 - 99.3 94.8 90.8 - 91.0 91.3 79.4 - 78.2 78.7 91.9 - 109.4 94.0 89.6 - 96.6 92.9 107.1 - - - - - - - -

Operating Cycle

 - - - 61.2 59.5 66.0 - 62.9 56.1 52.7 - 67.7 71.8 71.3 - 70.7 68.6 68.7 - 62.6 59.3 61.0 61.3 64.8 91.7 59.4 51.1 51.2 50.1 54.9 51.0 52.7 53.9 55.5 49.7 49.9 51.1 55.9 50.0 48.6 47.7 56.2 45.1 45.4 43.7 57.9 45.6 45.6 44.8 49.4 46.4 46.0 45.6 46.1 41.9 42.2 41.0 41.3 34.5 36.4 37.9 -

Cash Conversion Cycle

 - - - 24.4 18.1 27.7 - 10.2 6.3 8.0 - 13.3 18.8 15.2 - -10.4 -21.1 -14.2 - -21.0 -24.0 -22.3 61.3 -35.7 -63.5 -29.5 51.1 -40.0 -39.4 -35.2 51.0 -43.6 -42.2 -38.1 49.7 -49.4 -43.6 -34.9 50.0 -42.4 -43.6 -23.2 45.1 -32.8 -35.0 -34.0 45.6 -63.8 -49.1 -40.3 46.4 -50.6 -47.3 -60.9 41.9 42.2 41.0 41.3 34.5 36.4 37.9 -

All numbers in USD currency

Multiples are an important financial analysis tool for the company Universal Logistics Holdings, 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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