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Lancaster Colony Corporation LANC
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Quarterly report 2026-Q4
added 08-25-2026

Lancaster Colony Corporation Financial Ratios 2026-2008 | LANC

Brief overview of Lancaster Colony Corporation's multiples and efficiency

This overview follows the five latest available observations from 2021 through 2025.

Market valuation is represented by P/E 28.36x (median 32.47x), EV/EBITDA 19.22x (median 19.22x), P/S 2.49x (median 2.49x). Current valuation broadly matches recent historical reference points; the difference from five-year medians is -5.5%.

The inverse P/E implies an earnings yield of 3.5%. This is not a dividend yield, but current earnings relative to market price.

The latest available business-quality ratios are ROE 16.8%, ROA 13.1%, ROCE 22.1%. Returns on capital and assets point to efficient economics and a strong internal source of growth.

The PEG ratio is 3.43x; investors pay a high price per unit of expected growth.

The cash return period is stable at 27.2 days initially and 31.6 days at the end.

Valuation takeaway

Lancaster Colony Corporation's valuation and business quality look relatively balanced, with no pronounced distortion in either direction.

Annual Financial Ratios Lancaster Colony Corporation

2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008

P/E

- 28.4 30.0 40.3 40.6 32.5 34.5 28.2 29.5 29.4 29.2 24.9 32.8 20.8 20.0 15.6 - - -

P/S

- 2.5 2.5 2.5 2.2 3.2 3.5 3.2 3.3 2.8 3.0 2.3 2.4 1.9 1.7 1.5 - - -

EPS

7.0 6.1 5.8 4.0 3.3 5.2 5.0 5.5 4.9 4.2 4.5 3.7 2.8 4 3.5 3.8 4.1 3.2 -

EV (Enterprise Value)

-25.1 M 4.58 B 4.59 B 4.4 B 3.58 B 4.43 B 4.52 B 4.23 B 3.94 B 3.39 B 3.56 B 2.49 B 2.36 B 2.26 B 1.84 B 1.64 B -101 M -38.5 M -19.4 M

EBITDA per Share

11.3 10.3 9.3 7.02 5.75 8.38 7.79 7.59 7.26 7.29 7.64 6.45 6.39 6.68 5.91 6 6.92 5.4 -

EV/EBITDA

-0.1 16.2 18.0 22.8 22.7 19.2 19.3 19.4 19.0 16.3 16.5 13.4 12.9 11.8 10.7 9.2 -0.5 -0.3 -

PEG

- 3.43 4.49 37.16 -11.88 16.54 8.33 2.53 1.72 -5.45 1.5 0.7 -1.05 1.52 -2.35 -2.71 - - -

P/B

- 3.7 3.9 4.0 3.3 4.2 4.8 5.8 6.1 5.9 6.9 4.4 4.6 4.5 3.4 3.2 - - -

P/CF

- 18.1 18.9 19.9 35.7 26.5 27.6 33.5 30.8 28.9 28.2 22.1 21.7 21.1 18.0 14.8 - - -

ROE %

18.19 16.76 17.13 12.91 10.61 16.88 17.49 20.71 20.74 20.02 23.71 17.50 14.19 21.80 16.98 20.55 7.19 9.82 -

ROA %

11.94 13.13 13.14 10.00 8.22 12.92 13.79 16.63 16.82 16.10 19.18 14.22 11.74 17.62 14.04 17.10 5.94 7.93 -

ROCE %

22.67 22.06 21.53 16.41 13.25 22.04 22.46 22.45 24.22 27.31 32.86 24.19 27.00 29.83 23.49 26.93 35.92 32.21 -

Current Ratio

- - - - - - - 3.1 4.0 3.9 3.7 4.6 5.3 4.2 5.4 4.4 - - -

DSO

19.0 18.3 20.5 25.1 25.4 23.0 22.2 21.1 21.8 21.2 20.2 20.6 20.3 22.0 23.7 21.4 - - -

DIO

47.0 43.0 42.0 38.6 36.8 35.0 32.0 32.0 36.1 31.6 31.2 33.6 34.3 44.3 44.9 48.2 - - -

DPO

34.5 29.7 29.2 28.9 31.1 30.7 27.7 28.5 23.0 17.1 16.3 16.7 17.5 17.0 16.7 18.3 - - -

Operating Cycle

66.1 61.3 62.6 63.6 62.2 57.9 54.2 53.1 57.8 52.8 51.4 54.2 54.6 66.4 68.6 69.5 - - -

Cash Conversion Cycle

31.6 31.6 33.3 34.8 31.1 27.2 26.5 24.6 34.8 35.7 35.0 37.5 37.1 49.4 51.9 51.2 - - -

All numbers in USD currency

Quarterly Financial Ratios Lancaster Colony Corporation

2026-Q4 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

0.8799999999999999 1.49 1.78 1.62 -0.45999999999999996 1.03 1.87 1.49 1.78 1.62 - 1.03 1.87 1.6 - 0.89 1.45 1.37 2.82 -0.17 1.25 1.11 2.36 1.05 1.62 3.88 1.62 0.82 1.58 4.28 1.58 1.11 1.74 3.75 1.74 1.01 1.67 3.17 1.67 0.53 1.42 3.33 1.42 1.06 1.26 2.78 1.26 0.75 1.21 1.97 1.21 -0.38 1.44 3.06 1.44 0.8 1.29 0.98 1.29 0.98 1.11 0.78 1.89 0.78

EBITDA per Share

772 2.38 3.3 2.56 0.05 1.8 2.4 - 3.3 2.56 - 1.28 2.4 2.56 - 1.09 1.89 2.2 4.49 -0.24 1.7 1.89 3.96 1.4 2.19 2.16 2.9 2.16 2.02 2.2 2.62 2.2 2.27 2.04 2.76 2.04 1.76 1.85 2.2 1.85 2.2 2.07 2.61 2.07 1.94 1.75 2.35 1.75 1.85 1.44 2.19 1.44 2.07 1.53 2.57 1.57 1.94 1.67 2.3 1.67 1.62 1.38 1.98 1.38

ROE %

17.25 13.01 13.27 13.54 12.84 19.32 18.96 16.96 18.50 18.51 13.78 16.59 18.03 16.72 11.72 20.90 17.55 16.98 16.23 14.76 18.90 20.33 22.12 19.81 20.83 21.05 21.27 21.49 22.29 23.47 24.65 25.83 26.18 26.78 24.96 25.56 24.74 24.31 25.58 25.77 27.30 27.49 25.87 24.22 22.48 21.20 20.78 21.08 20.63 22.01 22.63 24.23 24.87 25.10 24.84 23.27 23.05 21.15 20.63 20.25 19.63 4.07 5.87 4.11

ROA %

12.49 9.40 9.53 9.67 9.38 14.46 14.49 13.27 14.53 14.46 10.79 12.91 14.01 12.85 8.96 16.07 13.55 13.10 12.52 11.32 14.51 15.67 17.28 15.87 16.82 17.00 17.15 17.46 18.22 19.28 20.47 21.63 21.98 22.51 20.74 21.19 20.44 20.07 21.10 20.83 21.99 22.07 20.79 19.57 18.17 17.34 17.12 17.46 17.16 18.21 18.64 19.72 20.15 20.11 19.94 18.78 18.69 17.47 17.11 16.82 16.33 3.35 4.88 3.42

ROCE %

21.68 17.68 16.37 15.82 14.79 24.43 26.26 22.49 24.72 23.46 17.55 20.92 22.90 21.38 14.92 26.83 22.56 21.96 21.01 19.27 24.58 26.43 27.59 24.50 26.22 26.12 26.89 26.80 27.58 29.26 29.54 31.22 31.61 30.52 31.03 29.97 30.18 33.21 35.22 39.17 41.54 41.73 39.26 36.67 34.00 32.15 31.54 32.06 31.40 32.84 33.54 35.89 36.84 37.62 37.49 34.97 34.66 31.53 30.78 29.90 28.99 6.22 8.45 6.28

DSO

20.0 19.1 17.2 18.7 21.6 18.5 19.0 20.5 18.0 19.3 - 19.6 20.7 23.2 - 25.3 25.1 29.1 12.4 24.3 22.7 24.0 10.9 23.7 22.4 24.0 21.1 21.4 21.7 22.6 19.4 20.0 20.3 22.5 19.0 20.4 21.6 23.3 - - - - - - - - - - - - - - - - - - - - - - - - - -

DIO

43.5 43.9 41.0 43.9 45.2 43.1 45.6 46.5 43.7 47.1 - 39.7 42.1 43.5 - 36.2 37.1 43.4 20.2 43.7 43.1 42.7 17.6 39.5 37.4 34.8 28.9 31.2 33.0 33.6 30.8 33.2 34.5 37.5 32.1 32.6 31.5 33.0 - - - - - - - - - - - - - - - - - - - - - - - - - -

DPO

30.3 30.6 28.6 30.4 31.0 29.5 30.0 29.2 25.9 29.2 - 27.9 28.1 30.0 - 33.2 32.5 35.0 15.8 34.7 35.1 36.2 15.9 33.9 29.8 28.2 24.3 28.0 30.5 30.0 27.4 28.0 25.0 24.3 20.5 21.4 19.4 18.2 - - - - - - - - - - - - - - - - - - - - - - - - - -

Operating Cycle

- 63.0 58.2 62.6 58.5 60.1 - 67.0 61.7 66.3 - 59.3 62.7 66.7 - 61.5 62.3 72.5 32.6 68.0 65.8 66.7 28.5 63.2 59.8 58.8 50.0 52.6 54.7 56.3 50.2 53.2 54.8 60.1 51.1 53.0 53.1 56.3 - - - - - - - - - - - - - - - - - - - - - - - - - -

Cash Conversion Cycle

- 32.4 29.6 32.3 27.4 29.2 - 37.7 35.8 37.1 - 31.4 34.6 36.7 - 28.2 29.8 37.6 16.9 33.3 30.7 30.4 12.6 29.2 30.0 30.6 25.7 24.6 24.2 26.2 22.8 25.2 29.8 35.8 30.7 31.6 33.7 38.1 - - - - - - - - - - - - - - - - - - - - - - - - - -

All numbers in USD currency

Multiples are an important financial analysis tool for the company Lancaster Colony Corporation, 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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