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Haynes International HAYN
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Quarterly report 2024-Q3
added 05-16-2026

Haynes International Financial Ratios 2023-2008 | HAYN

Brief overview of Haynes International's multiples and efficiency

This overview follows the five latest available observations from 2014 through 2023.

The current valuation set is P/E 15x (median 65.3x), EV/EBITDA 11.78x (median 15.45x), P/S 1.07x (median 1.29x). On average, this basket is 17.2% below its own five-year medians. The market values the business at a discount to recent history.

Earnings yield calculated as 1/P/E is about 6.7%, showing current profit per unit of share price.

Current measures of operating quality are ROE 9.7%, ROA 5.9%, ROCE 13.3%. Profitability sends a weak positive signal and leaves the business sensitive to cost or demand pressure.

PEG is 0.16x. Price is low relative to embedded growth, though the ratio depends heavily on forecast quality.

The cash cycle accelerated by 136.3 days to 314.6 days. Less capital is tied up in operations.

Overall assessment

Haynes International's discount may reflect genuine profitability issues rather than market inefficiency alone.

Annual Financial Ratios Haynes International

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

P/E

15.0 14.0 -52.6 -53.0 91.4 -251.7 -20.7 -632.1 1428.6 65.3 -143.1 86.9 72.1 - - -

P/S

1.1 1.3 1.4 0.9 2.8 3.8 5.2 1.0 0.7 0.9 1.0 0.9 1.1 - - -

EPS

3.3 3.6 -0.7 -0.5 0.3 -0.1 -1.8 -0.1 0.0 0.5 -0.3 0.5 0.7 0.4 -4.4 -

EV (Enterprise Value)

891 M 881 M 612 M 555 M 565 M 649 M 707 M 704 M 573 M 635 M 673 M 786 M 872 M 222 M -105 M -7.06 M

EBITDA per Share

6.02 5.97 0.96 1.61 2.94 2.23 1.76 2 5.39 1.7 3.74 7.36 5.04 2.23 -4.18 -

EV/EBITDA

11.8 11.9 51.2 27.7 15.5 23.5 32.3 28.5 8.6 30.4 14.7 8.8 14.3 8.3 2.1 -

PEG

0.16 0.14 6.74 4.3 2.28 -11.01 -2.69 -32.76 25.03 -3.84 -0.54 0.2 0.1 - - -

P/B

1.4 1.7 1.3 1.1 1.0 1.2 1.4 1.4 1.0 1.2 1.4 1.7 2.2 - - -

P/CF

-37.7 -8.0 19.6 9.5 6.9 -29.4 60.6 7.9 6.7 -44.1 20.8 -119.8 148.9 - - -

ROE %

9.66 12.01 -2.53 -2.15 1.10 -0.48 -6.75 -0.22 0.07 1.84 -0.98 1.94 3.09 3.34 -18.77 -

ROA %

5.94 7.13 -1.59 -1.16 0.55 -0.27 -3.62 -0.10 0.04 1.04 -0.58 0.93 1.42 1.61 - -

ROCE %

13.26 14.76 -2.08 0.20 3.32 0.95 0.05 0.71 8.12 0.92 5.82 13.96 9.78 5.84 -21.73 -

Current Ratio

2.6 2.5 2.7 2.2 2.0 2.3 2.2 1.9 2.2 2.3 2.5 1.9 1.8 1.9 - -

DSO

62.2 56.9 59.0 61.4 253.1 230.2 250.7 61.6 55.4 62.1 69.3 59.3 50.6 30.1 - -

DIO

293.3 287.9 303.0 274.3 228.5 248.9 251.2 246.4 232.5 217.4 221.0 204.2 195.8 129.1 - -

DPO

40.9 48.7 40.0 28.3 30.8 33.6 32.8 30.2 33.0 31.1 29.0 34.4 33.9 19.1 - -

Operating Cycle

355.5 344.8 361.9 335.8 481.6 479.1 501.9 308.0 287.9 279.5 290.2 263.5 246.4 159.1 - -

Cash Conversion Cycle

314.6 296.1 322.0 307.5 450.9 445.4 469.1 277.9 254.8 248.4 261.2 229.1 212.5 140.1 - -

All numbers in USD currency

Quarterly Financial Ratios Haynes International

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

0.64 0.67 0.6 0.6 0.69 0.98 0.62 0.62 1.25 0.68 0.37 0.37 0.03 -0.29 -0.65 -0.65 -0.65 0.32 0.26 0.26 0.3 0.12 -0.13 -0.13 0.06 -0.17 -1.82 -1.82 -0.32 -0.15 -0.06 -0.06 0.22 -0.09 0.02 0.02 0.53 0.94 0.51 0.51 0.17 -0.1 -0.29 -0.29 0.43 0.52 0.47 0.47 1.12 1.24 0.69 0.69 0.7 0.7 0.69

EBITDA per Share

1.94 1.66 1.21 1.21 2.12 2.08 1.25 1.25 2.77 1.62 0.82 0.82 1.26 0.47 -0.38 -0.38 0.52 1.37 0.89 0.89 1.64 1 0.32 0.32 1.27 0.78 0.09 0.26 0.66 0.71 0.36 0.36 1.49 0.7 0.49 0.49 2.01 2.12 1.13 1.13 1.18 0.5 -0.16 -0.16 1.47 1.33 0.92 0.92 2.51 2.37 1.29 1.31 1.84 1.61 1.3

ROE %

7.20 7.52 8.65 8.89 9.14 11.43 10.84 10.22 9.60 5.34 1.65 -2.42 -6.48 -9.37 -6.79 -3.02 0.75 4.64 3.76 2.20 0.63 -0.29 -1.41 -8.17 -14.93 -16.46 -16.41 -9.38 -2.35 -0.22 0.05 0.33 0.62 1.59 5.21 6.97 8.73 7.53 3.90 1.08 -1.74 -0.65 1.80 4.70 7.60 10.40 13.43 14.54 15.65 14.12 12.07 12.15 2.96 3.08 3.09

ROA %

4.61 4.70 5.27 5.33 5.39 6.66 6.36 6.08 5.80 3.33 1.18 -1.15 -3.47 -4.89 -3.58 -1.60 0.39 2.38 1.98 1.17 0.35 -0.17 -0.78 -4.23 -7.68 -8.41 -8.36 -4.74 -1.12 -0.06 0.05 0.19 0.33 0.93 2.99 4.01 5.03 4.33 2.24 0.61 -1.03 -0.52 0.71 2.20 3.70 5.06 6.48 6.97 7.46 6.68 5.64 5.65 1.43 1.41 1.42

ROCE %

10.44 11.05 12.46 12.79 13.13 15.70 14.57 13.34 12.10 6.79 2.43 -2.39 -7.21 -10.40 -6.66 -1.37 3.92 8.58 7.07 4.79 2.50 0.11 -1.43 -2.73 -3.37 -5.46 -5.45 -4.20 -3.63 -0.14 -0.02 0.49 1.01 3.04 8.33 10.83 13.33 11.24 6.03 1.69 -2.66 -1.00 2.57 6.81 11.04 15.42 20.01 21.98 23.94 21.91 19.21 19.33 4.90 5.09 4.73

Current Ratio

2.9 2.8 2.7 2.7 2.5 2.4 2.4 2.4 2.4 2.6 2.8 2.8 2.1 2.1 2.2 2.2 2.0 1.9 2.0 2.0 2.3 2.3 2.3 2.3 2.0 2.1 2.1 2.1 1.9 1.9 1.9 1.9 2.1 2.1 2.1 2.1 2.4 2.4 2.4 2.4 2.3 2.3 2.4 2.4 2.0 1.9 1.9 1.9 2.0 1.9 1.9 1.9 1.9 1.8 1.8

DSO

60.8 58.9 59.5 56.9 59.4 57.2 63.2 59.0 54.3 51.5 52.2 49.9 50.8 48.1 51.0 58.6 67.0 54.0 55.6 60.5 57.5 52.3 55.4 56.2 49.5 48.6 45.4 59.0 57.2 55.0 53.8 58.7 57.4 59.7 63.0 66.3 62.8 58.9 66.2 60.5 59.6 51.2 51.7 74.5 69.7 58.7 70.7 61.4 52.8 55.2 62.8 58.9 51.8 55.9 -

DIO

282.7 299.1 308.9 307.6 313.3 294.9 325.1 305.7 299.4 274.6 303.3 280.6 280.3 286.8 302.9 320.6 318.6 278.1 286.9 280.3 228.9 223.7 267.9 263.4 246.6 247.2 294.9 291.2 237.1 236.8 266.0 268.2 256.7 247.0 283.0 285.0 242.2 214.2 268.5 259.2 197.2 200.4 236.7 250.3 225.3 225.1 263.4 270.9 236.3 199.4 233.2 229.1 197.4 193.7 -

DPO

31.5 33.4 34.8 38.3 41.5 42.8 52.6 54.0 54.8 43.8 44.5 39.8 33.8 25.9 23.1 24.4 28.3 33.9 40.9 42.3 35.5 31.2 34.7 35.2 32.8 34.6 45.0 44.0 37.1 37.5 40.9 37.5 32.0 30.1 34.0 39.8 38.7 31.3 35.5 43.6 41.2 36.0 34.7 33.2 29.9 35.3 44.2 47.0 42.6 35.4 40.4 45.1 41.2 38.0 -

Operating Cycle

- 343.5 358.0 371.2 - 372.7 352.2 375.6 - 163.9 326.1 343.2 52.6 350.4 354.9 367.0 144.8 346.1 412.5 335.2 128.8 274.7 334.3 323.0 145.4 314.1 310.6 348.8 138.2 293.9 326.4 319.2 133.9 300.8 333.6 345.0 134.8 289.7 351.9 320.7 130.6 258.9 299.7 308.9 133.6 262.8 337.5 326.6 132.0 284.9 325.9 283.8 122.1 249.6 -

Cash Conversion Cycle

- 312.0 324.6 334.1 - 331.2 309.3 326.4 - 140.3 282.3 294.3 52.6 301.9 314.2 344.2 138.6 325.5 375.5 297.2 118.9 245.5 298.2 288.0 133.1 279.5 273.5 307.2 127.2 262.1 287.8 282.3 123.6 269.8 300.1 311.9 125.8 262.1 316.4 281.8 118.1 224.8 261.6 277.3 125.4 238.8 299.4 286.6 121.9 253.5 285.7 242.3 108.3 211.6 -

All numbers in USD currency

Multiples are an important financial analysis tool for the company Haynes International, 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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