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CSG Systems International logo
CSG Systems International CSGS
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Quarterly report 2026-Q1
added 05-07-2026

CSG Systems International Financial Ratios 2025-2008 | CSGS

Brief overview of CSG Systems International's financial ratios

The review covers five available annual periods spanning 2021 to 2025.

Key multiples at the end of the period are P/E 39.48x (median 24.94x), EV/EBITDA 23.87x (median 18.69x), P/S 1.8x (median 1.72x). Multiples are on average 27.7% above their own medians. A substantial share of positive expectations may already be priced in.

Current earnings relative to valuation equal about 2.5% on the 1/P/E measure. This is a valuation reference, not an expected payout.

Current measures of operating quality are ROE 19.7%, ROA 3.6%, ROCE 13.3%. Quality ratios send a mostly positive signal: resources are productive, with room for improvement.

PEG is 5.6x. Price is well ahead of embedded growth, making market expectations demanding.

The cash conversion cycle is 60.6 days versus 60.2 days initially. Turnover changed little.

Valuation takeaway

CSG Systems International demonstrates high business quality but trades at a premium to its own history. Strong future results are needed to preserve valuation.

Annual Financial Ratios CSG Systems International

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

P/E

39.5 20.9 24.1 42.6 24.9 23.1 19.9 17.4 23.9 23.9 17.3 21.5 19.0 12.2 12.6 29.3 10.8 -

P/S

1.8 1.5 1.4 1.7 1.7 1.4 1.7 1.3 1.9 2.0 1.4 1.1 1.3 0.8 0.7 1.2 0.9 -

EPS

2.0 3.1 2.2 1.4 2.3 1.8 2.6 2.0 1.9 2.0 2.0 1.1 1.4 1.5 1.3 0.7 1.3 -

EV (Enterprise Value)

3.29 B 2.87 B 2.58 B 2.72 B 2.55 B 2.08 B 2.38 B 1.77 B 1.91 B 2.02 B 1.48 B 1.21 B 1.39 B 985 M 925 M 1.1 B 306 M -83.9 M

EBITDA per Share

4.97 5.41 4.93 3.44 4.69 4.01 4.75 4.06 3.94 4.74 4.22 3.2 3.35 3.77 3.95 2.97 2.85 -

EV/EBITDA

23.9 18.7 17.5 25.5 16.9 11.6 12.1 10.4 13.1 11.9 9.4 9.3 10.7 6.1 5.4 11.4 3.2 -

PEG

5.6 3.76 3.43 -40.03 27.0 -1523.76 0.75 2.19 -3.46 23.99 0.23 -0.75 3.61 0.69 0.14 - - -

P/B

7.8 6.4 5.8 5.3 4.1 3.2 4.2 3.2 4.3 6.0 3.1 2.2 2.7 1.8 1.9 2.8 - -

P/CF

14.1 13.3 12.1 29.5 12.9 7.8 14.5 13.3 17.0 24.1 9.9 15.3 10.9 6.7 13.7 5.4 3.1 -

ROE %

19.70 30.74 24.24 12.40 16.43 13.90 20.87 18.32 17.90 25.02 18.09 10.05 14.03 14.96 15.39 9.46 20.43 -

ROA %

3.62 5.79 4.59 3.27 5.21 4.41 6.45 5.93 6.78 7.05 7.13 4.30 5.91 5.77 5.19 2.55 - -

ROCE %

13.29 14.83 14.04 9.59 17.94 11.57 15.15 14.87 16.79 22.17 22.47 13.82 13.46 15.59 16.87 12.20 35.24 -

Current Ratio

1.2 1.2 1.2 1.4 1.5 1.5 1.6 1.7 2.5 1.9 1.4 2.3 2.3 2.1 2.1 1.4 - -

DSO

84.5 81.5 84.6 86.8 82.1 86.7 103.2 116.7 122.3 120.7 108.6 114.0 107.8 112.0 106.8 51.5 - -

DPO

23.9 24.6 27.9 26.8 21.9 21.3 22.7 36.8 35.5 34.2 41.7 34.7 32.3 29.0 27.1 16.0 - -

Operating Cycle

84.5 81.5 84.6 86.8 82.1 86.7 103.2 116.7 122.3 120.7 108.6 114.0 107.8 112.0 106.8 51.5 - -

Cash Conversion Cycle

60.6 56.9 56.6 60.0 60.2 65.4 80.5 79.9 86.8 86.6 66.9 79.3 75.5 83.0 79.6 35.5 - -

All numbers in USD currency

Quarterly Financial Ratios CSG Systems International

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

0.86 0.74 0.44 0.58 - 0.67 0.48 0.68 - 0.62 0.46 0.69 - 0.4 0.17 0.19 - 0.51 0.61 0.62 0.42 0.42 0.32 0.67 0.71 0.67 0.6 0.6 0.65 0.5 0.46 0.43 0.46 0.45 0.36 0.63 0.41 0.58 0.35 0.7 0.76 0.54 0.42 0.3 0.37 0.16 0.29 0.3 0.28 0.48 0.38 0.46 0.49 0.29 0.37 0.36 0.35 0.32 0.27 0.35

EBITDA per Share

1.41 1.35 1.31 1.24 - 1.37 1.11 1.31 - 1.3 1.13 1.44 - 0.87 0.48 0.72 - 1.62 1.21 1.18 0.72 1.08 0.79 1.21 0.92 1.21 1.11 1.16 0.89 0.94 0.88 0.91 0.78 0.97 0.85 0.95 0.79 1.29 1.06 1.46 1.05 1.12 0.97 0.81 0.56 0.53 0.77 0.75 0.49 0.78 0.82 0.72 0.66 0.85 0.92 1.07 0.8 0.89 0.87 0.93

ROE %

25.12 23.61 21.60 24.60 18.91 26.08 23.10 23.73 16.50 20.13 14.36 12.19 6.51 10.15 10.92 14.09 12.62 15.83 14.65 15.35 10.76 16.19 17.87 20.27 15.17 19.63 18.39 17.38 12.53 16.78 15.70 17.42 13.54 20.66 20.71 25.89 19.99 24.83 21.41 19.80 11.25 12.67 10.39 9.32 6.62 9.15 11.91 12.65 14.08 16.41 15.11 15.45 14.99 14.24 15.17 14.82 15.39 3.81 3.28 4.18

ROA %

5.00 4.77 4.40 5.04 3.90 5.31 5.01 5.61 4.10 5.09 4.15 4.26 2.64 4.14 3.15 4.69 4.22 5.24 4.83 4.95 3.41 5.09 5.58 6.31 4.69 6.14 5.81 5.56 4.06 5.67 5.51 6.39 5.13 7.14 6.74 7.87 5.63 7.57 7.05 6.92 4.51 5.12 4.27 3.91 2.83 3.87 5.03 5.32 5.91 6.73 6.08 6.09 5.77 5.29 5.47 5.17 5.19 1.29 1.11 1.41

ROCE %

13.86 13.54 13.05 13.40 10.13 13.90 13.59 15.16 11.51 13.97 12.13 11.36 6.89 11.56 13.91 16.55 14.05 16.69 15.26 12.65 11.72 12.58 13.21 14.51 14.59 14.94 14.43 14.08 13.74 13.70 14.51 14.91 15.50 15.91 17.84 19.18 22.10 24.65 24.71 25.01 22.48 18.69 14.66 12.83 11.70 11.23 12.20 12.11 11.61 12.60 12.91 13.38 15.21 16.10 16.36 16.25 15.59 3.69 3.62 3.90

Current Ratio

1.2 1.2 1.3 1.2 1.2 1.3 1.2 1.3 1.2 1.2 1.4 1.4 1.4 1.4 - 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.4 1.4 1.4 1.4 1.5 1.5 1.5 1.5 1.6 1.6 1.6 1.6 1.5 1.5 1.5 1.5 1.7 1.7 1.7 1.7 1.7 1.8 1.8 1.8 1.7 1.7 1.7 1.7 1.6 1.6 1.6 1.6 1.5 1.5 1.5 1.5

DSO

81.4 79.2 80.5 81.1 - 84.4 85.1 84.0 - 84.5 81.6 80.9 - 39.9 41.5 83.3 - 80.8 84.1 85.4 79.4 84.7 86.0 87.4 87.4 88.6 90.6 89.4 87.0 101.0 101.0 103.0 97.6 100.6 104.0 101.6 97.7 100.7 100.2 95.0 82.7 87.3 89.4 89.3 86.9 90.9 91.2 88.0 83.7 87.5 87.5 93.6 88.5 92.2 95.3 91.7 87.5 89.8 90.5 -

DPO

25.0 24.0 21.8 20.0 - 32.0 28.8 26.1 - 24.1 22.4 24.7 - 10.8 11.6 23.3 - 21.6 22.2 21.4 20.1 20.8 19.7 21.8 22.6 22.6 22.6 27.6 31.8 38.0 37.8 37.8 35.1 35.2 35.9 34.3 - - - - - 43.0 43.1 36.6 34.1 35.8 36.1 31.5 32.4 32.1 32.1 31.2 27.6 27.7 30.1 29.2 27.3 26.7 27.3 -

Operating Cycle

- 79.2 80.5 81.1 - 84.4 85.1 84.0 - 84.5 81.6 80.9 - 39.9 41.5 83.3 - 80.8 84.1 85.4 79.4 84.7 86.0 87.4 87.4 88.6 90.6 89.4 87.0 101.0 101.0 103.0 97.6 100.6 104.0 101.6 97.7 100.7 100.2 95.0 82.7 87.3 89.4 89.3 86.9 90.9 91.2 88.0 83.7 87.5 87.5 93.6 88.5 92.2 95.3 91.7 87.5 89.8 90.5 -

Cash Conversion Cycle

- 55.2 58.7 61.1 - 52.5 56.3 57.9 - 60.5 59.2 56.3 - 29.1 29.9 60.0 - 59.2 61.9 63.9 59.2 63.9 66.3 65.7 64.8 66.0 68.0 61.8 55.2 63.0 63.2 65.2 62.5 65.4 68.0 67.2 97.7 100.7 100.2 95.0 82.7 44.3 46.2 52.7 52.7 55.1 55.1 56.6 51.4 55.4 55.4 62.4 60.9 64.5 65.2 62.4 60.2 63.1 63.2 -

All numbers in USD currency

Multiples are an important financial analysis tool for the company CSG Systems 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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