Sigma Lithium (SGML) PEG Ratio

Price: $10.155
Market Cap: $1.14B
Avg Volume: 529.16K
Country: BR
Industry: Industrial Materials
Sector: Basic Materials
Beta: 0.173
52W Range: $8.47-19.2
Website: Sigma Lithium

PEG Ratio Summary

  • Sigma Lithium's trailing twelve month (TTM) PEG ratio is 0.04.
  • Sigma Lithium's annual PEG ratio as of today is 1.61.
  • Sigma Lithium's quarterly PEG ratio is -0.10.

What is the PEG Ratio?

The PEG ratio (Price/Earnings to Growth ratio) is a valuation metric for determining the relative trade-off between the price of a stock, the earnings generated per share (EPS), and the company's expected growth. A lower PEG ratio suggests that a stock may be undervalued given its earnings performance and growth potential.

How is the PEG Ratio calculated?

The PEG ratio is calculated by dividing the P/E ratio by the annual EPS growth. The formula is:

PEG Ratio = (P/E Ratio) / (EPS Growth Rate)

This helps investors to determine a stock's value while considering the company's earnings growth.

Related Metrics

Other important metrics to assess Sigma Lithium's financial health include:

  • P/E Ratio (Price to Earnings Ratio) - measures the company's current share price relative to its per-share earnings:
    • Annual: -118.05
    • Quarterly: -13.55
    • TTM: -22.48
  • P/S Ratio (Price to Sales Ratio) - compares the company's stock price to its revenues:
    • Annual: 24.91
    • Quarterly: 65.65
    • TTM: 8.43
  • P/B Ratio (Price to Book Ratio) - compares the company's market value to its book value:
    • Annual: 21.07
    • Quarterly: 12.55
    • TTM: 10.89
  • P/CF Ratio (Price to Cash Flow Ratio) - compares the company's market value to its cash flow:
    • Annual: -146.63
    • Quarterly: 38.52
    • TTM: 38.53

These metrics provide insights into Sigma Lithium's financial health and its ability to meet short-term obligations. Comparing these ratios with industry benchmarks can offer a deeper understanding of the company's performance.

TTM PEG Ratio

0.04

Annual PEG Ratio

1.61

Quarterly PEG Ratio

-0.10

Sigma Lithium Historical PEG Ratio

1.781.781.141.140.510.51-0.13-0.13PEG Ratio1.61-0.13-0.021.620.32-0.050.18-0.080.18-0.060.100.000.0020122012201320132014201420152015201620162017201720182018201920192020202020212021202220222023202320242024

Historical P/E Ratio

0.000.00-30.00-30.00-60.00-60.00-90.00-90.00-120.00-120.00P/E Ratio-118.05-29.12-32.91-108.62-23.45-6.30-13.12-3.69-5.28-3.77-5.92-2.260.0020122012201320132014201420152015201620162017201720182018201920192020202020212021202220222023202320242024

Historical P/S Ratio

30.0030.0024.0024.0018.0018.0012.0012.006.006.000.000.00P/S Ratio24.910.000.000.000.000.000.000.000.000.000.000.000.0020122012201320132014201420152015201620162017201720182018201920192020202020212021202220222023202320242024

Historical P/B Ratio

100.00100.0080.0080.0060.0060.0040.0040.0020.0020.000.000.00-20.00-20.00P/B Ratio21.0721.016.089.9315.227.74-0.0692.055.472.007.772.650.0020122012201320132014201420152015201620162017201720182018201920192020202020212021202220222023202320242024

Historical P/CF Ratio

600.00600.00300.00300.000.000.00-300.00-300.00-600.00-600.00-900.00-900.00P/CF Ratio-146.63-706.73-264.14-89.28324.69-25.37-11.49-4.20-5.91-3.56-6.01-2.730.0020122012201320132014201420152015201620162017201720182018201920192020202020212021202220222023202320242024

Sigma Lithium Historical Financial Metrics

The table below shows various financial metrics for each year, with the latest data available for the last fiscal year 2023.

Year PEG Ratio P/E Ratio P/S Ratio P/B Ratio P/CF Ratio
2023 1.61 -118.05 24.91 21.07 -146.63
2022 -0.13 -29.12 0.00 21.01 -706.73
2021 -0.02 -32.91 0.00 6.08 -264.14
2020 1.62 -108.62 0.00 9.93 -89.28
2019 0.32 -23.45 0.00 15.22 324.69
2018 -0.05 -6.30 0.00 7.74 -25.37
2017 0.18 -13.12 0.00 -0.06 -11.49
2016 -0.08 -3.69 0.00 92.05 -4.20
2015 0.18 -5.28 0.00 5.47 -5.91
2014 -0.06 -3.77 0.00 2.00 -3.56
2013 0.10 -5.92 0.00 7.77 -6.01
2012 0.00 -2.26 0.00 2.65 -2.73
2011 0.00 0.00 0.00 0.00 0.00

Related Metrics

Explore detailed financial metrics and analysis for SGML.