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Oracle ORCL
$ 142.48 0.06%
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Quarterly report 2026-Q3
added 06-22-2026

Oracle Financial Ratios 2026-2007 | ORCL

Brief overview of Oracle's multiples and efficiency

Current figures are compared with the company's own five-year history for 2022–2026.

The valuation comparison uses P/E 29.3x (median 47.26x), EV/EBITDA 16.63x (median 23.99x), P/S 7.43x (median 7.79x). On average, this basket is 36.8% below its own five-year medians. The market values the business at a discount to recent history.

At the current P/E, inverse earnings yield is 3.4%, a useful bridge between price and business earnings.

Capital efficiency is characterized by ROE 40.2%, ROA 6.5%, ROCE 9.4%. Quality ratios send a mostly positive signal: resources are productive, with room for improvement.

Price, earnings and growth produce a PEG of 2.29x. A high value reduces the cushion if growth slows.

Cash turnover speed was broadly preserved, with the cycle moving from 48.9 days to 51.3 days.

Overall picture

Oracle's high-quality returns come with historically restrained multiples. Price appears more cautious than current business efficiency.

Annual Financial Ratios Oracle

2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007

P/E

29.3 47.3 55.3 38.8 49.2 16.2 17.5 18.7 47.5 22.1 19.4 17.9 16.8 13.4 14.9 19.4 18.1 17.8 20.9 -

P/S

7.4 10.2 10.9 6.6 7.8 5.5 4.5 5.2 4.6 5.5 4.7 4.6 4.8 3.9 4.0 4.7 4.2 4.3 5.2 -

EPS

5.9 4.5 3.8 3.1 2.5 4.7 3.2 3.0 0.9 2.3 2.1 2.3 2.4 2.3 2.0 1.7 1.2 1.1 1.1 -

EV (Enterprise Value)

469 B 577 B 568 B 321 B 309 B 193 B 243 B 273 B 251 B 265 B 217 B 218 B 209 B 169 B 168 B 183 B 101 B 92 B 108 B -6.22 B

EBITDA per Share

9.87 7.72 6.74 5.79 4.78 5.69 4.92 4.32 3.87 3.58 3.49 3.73 3.82 3.53 3.29 3 1.87 1.69 1.58 -

EV/EBITDA

16.6 26.8 30.7 20.5 24.0 11.4 13.4 15.4 13.8 16.5 13.3 12.0 11.0 8.9 9.1 10.9 10.8 10.7 13.3 -

PEG

2.29 4.56 5.42 4.19 7.39 1.57 4.86 0.08 -0.8 2.91 -2.92 -2.7 2.95 0.89 0.84 0.5 - - - -

P/B

1.9 3.5 4.1 2.5 3.0 1.7 14.7 9.5 4.0 3.8 3.7 3.6 3.9 3.3 3.4 4.2 1.8 2.1 - -

P/CF

15.7 28.2 31.0 19.2 34.7 14.0 15.3 16.1 13.3 17.0 14.0 13.7 12.8 10.8 11.4 15.4 12.8 12.2 15.7 -

ROE %

40.20 60.84 113.29 792.45 -107.99 230.95 83.94 50.87 8.37 17.33 18.82 20.42 23.37 24.47 22.85 21.49 19.92 22.63 23.86 -

ROA %

6.53 7.39 7.42 6.33 6.15 10.48 8.78 10.20 2.79 6.92 7.93 8.96 12.13 13.35 12.74 11.62 9.96 11.97 - -

ROCE %

9.39 13.08 14.03 11.82 12.23 14.23 14.46 15.57 12.13 11.98 13.80 14.94 19.73 20.93 22.33 21.45 19.49 21.95 33.53 -

Current Ratio

- - - - - - 3.0 2.5 4.0 3.1 3.7 4.1 3.3 3.2 2.6 2.8 - - - -

DSO

51.3 52.2 51.0 47.0 48.9 49.4 51.9 47.4 48.4 51.3 53.1 53.6 58.0 59.4 62.7 67.9 68.1 34.8 - -

DIO

- - - - - - - - - 14.7 10.3 15.2 9.5 12.3 7.3 13.2 53.7 - - -

DPO

- - - - - - 29.3 26.5 23.9 29.3 24.6 39.1 23.8 21.5 20.3 30.5 216.9 - - -

Operating Cycle

51.3 52.2 51.0 47.0 48.9 49.4 51.9 47.4 48.4 65.9 63.4 68.9 67.6 71.7 70.0 81.1 121.9 34.8 - -

Cash Conversion Cycle

51.3 52.2 51.0 47.0 48.9 49.4 22.6 21.0 24.5 36.7 38.8 29.8 43.8 50.2 49.7 50.6 -95.1 34.8 - -

All numbers in USD currency

Quarterly Financial Ratios Oracle

2026-Q3 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 2010-Q1

EPS

1.29 2.14 1.29 1.04 - 1.05 1.13 1.06 - 0.87 0.91 0.89 - 0.7 0.65 0.58 1.22 0.87 -0.46 0.89 0.44 1.72 0.82 0.74 0.82 0.74 0.71 0.64 0.71 0.64 0.63 0.58 0.63 0.58 0.53 0.52 0.54 0.53 0.5 0.44 0.5 0.44 0.52 0.4 0.52 0.4 0.57 0.49 0.57 0.49 0.56 0.48 0.56 0.48 0.54 0.42 0.54 0.42 0.43 0.36 0.43 0.36 0.24 0.29 0.22

EBITDA per Share

3.71 2.72 2.04 1.99 - 1.75 1.72 1.74 - 1.64 1.59 1.47 - 1.54 1.48 1.18 2.54 1.54 -0.19 1.4 1.29 1.45 1.32 1.17 1.45 1.17 1.11 0.97 1.19 0.97 0.95 0.78 0.99 0.78 0.83 0.73 0.88 0.75 0.81 0.7 0.85 0.7 0.8 0.67 0.8 0.67 0.93 0.7 0.88 0.7 0.88 0.66 0.82 0.66 0.85 0.62 0.78 0.62 0.73 0.55 0.66 0.55 0.41 0.46 0.36

ROE %

51.93 59.28 61.72 78.04 65.92 108.62 148.79 211.04 185.05 85.89 -2.92 -88.50 -173.68 -226.56 -154.06 -95.04 -284.07 -208.11 -85.58 -67.65 173.50 170.64 93.43 77.44 65.31 55.69 46.86 39.64 34.00 28.42 23.50 19.83 17.71 16.82 16.04 16.27 16.30 16.46 16.23 16.82 16.66 16.88 16.60 17.08 17.98 18.80 19.87 20.47 20.89 21.27 21.52 21.66 21.32 21.51 21.26 20.49 20.29 24.52 25.19 24.13 24.93 19.09 4.18 5.30 4.30

ROA %

7.65 8.25 7.29 7.53 5.90 5.90 7.77 7.42 5.39 6.74 6.18 7.32 5.55 5.55 7.69 5.17 5.98 3.89 5.58 8.97 8.95 10.15 8.27 8.40 8.42 8.44 8.45 8.08 7.83 7.39 7.07 6.70 6.54 6.50 6.49 6.54 6.42 6.58 6.58 6.99 7.10 7.27 7.21 7.69 8.29 9.08 9.92 10.37 10.72 11.07 11.33 11.57 11.70 11.87 11.79 11.56 11.39 13.58 13.86 12.85 13.07 9.71 2.00 2.71 2.12

ROCE %

11.25 33.82 34.53 35.41 32.35 35.71 13.76 13.17 9.62 -160.89 -161.22 -161.76 -164.73 -158.35 16.53 12.56 13.25 9.32 8.60 13.61 13.58 14.81 14.45 14.20 14.10 13.99 13.91 13.27 12.52 11.58 10.72 10.01 9.88 10.04 10.24 10.61 10.63 11.06 11.30 11.66 12.04 11.93 11.92 12.84 13.47 15.07 16.21 16.85 17.42 17.70 17.96 18.39 19.00 19.57 19.97 19.84 19.65 19.38 19.34 18.40 18.81 17.52 4.12 4.85 4.00

DSO

53.5 57.3 51.9 53.2 - 26.4 52.6 54.5 - 48.5 47.0 49.2 - 22.8 45.1 47.4 180.5 39.3 39.4 46.4 24.6 44.5 41.9 49.3 13.0 46.8 37.4 44.3 11.9 45.1 36.8 44.0 11.9 41.7 35.0 44.1 25.7 44.6 35.8 46.7 54.4 49.6 37.7 49.1 57.0 53.7 37.4 51.2 57.9 54.6 37.6 51.8 59.5 57.0 41.0 56.6 64.0 60.3 44.8 59.0 68.8 288.6 49.8 44.2 -

DIO

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 60.6 69.8 - -

DPO

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 129.2 192.9 - -

Operating Cycle

- - 51.9 53.2 - - 52.6 54.5 - 48.5 47.0 49.2 - 22.8 45.1 47.4 180.5 39.3 39.4 46.4 24.6 44.5 41.9 49.3 13.0 46.8 37.4 44.3 11.9 45.1 36.8 44.0 11.9 41.7 35.0 44.1 25.7 44.6 35.8 46.7 54.4 49.6 37.7 49.1 57.0 53.7 37.4 51.2 57.9 54.6 37.6 51.8 59.5 57.0 41.0 56.6 64.0 60.3 44.8 59.0 68.8 - - - -

Cash Conversion Cycle

- - 51.9 53.2 - - 52.6 54.5 - 48.5 47.0 49.2 - 22.8 45.1 47.4 180.5 39.3 39.4 46.4 24.6 44.5 41.9 49.3 13.0 46.8 37.4 44.3 11.9 45.1 36.8 44.0 11.9 41.7 35.0 44.1 25.7 44.6 35.8 46.7 54.4 49.6 37.7 49.1 57.0 53.7 37.4 51.2 57.9 54.6 37.6 51.8 59.5 57.0 41.0 56.6 64.0 60.3 44.8 59.0 68.8 - - - -

All numbers in USD currency

Multiples are an important financial analysis tool for the company Oracle, 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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