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SGML vs FOR

Comparison between Sigma Lithium Corporation (SGML, Company) and Forestar Group Inc New (FOR, Company).

SGML is from the Basic Materials sector, while FOR is from the Real Estate sector.

5-Year PerformanceSGML has outperformed FOR, delivering a return of +25.6% compared to +6.0%

SGML vs FOR - Performance Comparison

Key Characteristics

Financial metrics and valuation ratios

Market Cap
Winner
SGML
$1.45B
FOR
$1.44B
Max Drawdown
SGML
89.91%
Winner
FOR
89.77%
Sharpe Ratio
Winner
SGML
1.50
FOR
1.08
5Y Beta
SGML
1.77
Winner
FOR
0.86
Industry
SGML
Other Industrial Metals & Mining
FOR
Real Estate - Development
P/E Ratio
Winner
SGML
-50.83
FOR
8.61
Forward P/E
Winner
SGML
13.93
FOR
49.02
PEG Ratio
SGML
N/A
FOR
4.90
5Y EPS CAGR
Winner
SGML
33.51%
FOR
19.13%
Debt to Equity
SGML
189.06%
Winner
FOR
43.63%
Free Cash Flow Yield
SGML
-0.30%
Winner
FOR
18.36%
P/S Ratio
SGML
15.20
Winner
FOR
0.87
P/B Ratio
SGML
20.12
Winner
FOR
0.81

SGML vs FOR - Historical Returns

Returns include dividend reinvestment.

1M
SGML
-8.44%
Winner
FOR
+11.68%
3M
Winner
SGML
+35.80%
FOR
+10.77%
6M
Winner
SGML
+49.08%
FOR
+6.90%
1Y
Winner
SGML
+202.55%
FOR
+43.65%
5Y(CAGR)
Winner
SGML
+25.59%
FOR
+5.97%
10Y(CAGR)
SGML
N/A
FOR
+8.51%
Max(CAGR)
Winner
SGML
+35.17%
FOR
+0.93%

SGML vs FOR - Annual Returns (2007 - 2026)

Returns include dividend reinvestment.

YearSGMLFOR
2026+8.37%+17.19%
2025+7.24%-3.86%
2024-62.90%-19.95%
2023+24.28%+112.94%
2022+166.98%-30.59%
2021+280.01%+7.83%
2020+69.28%-2.37%
2019-11.63%+52.08%
2018-0.19%-37.47%
2017N/A+63.57%
2016N/A+23.49%
2015N/A-29.51%
2014N/A-26.98%
2013N/A+19.56%
2012N/A+10.03%
2011N/A-21.32%
2010N/A-12.15%
2009N/A+148.36%
2008N/A-58.97%
2007N/A-1.71%

SGML vs FOR Drawdown Comparison

The maximum drawdown for SGML was -89.91%, occurring on Jun 25, 2025. This drawdown has not yet recovered.

The maximum drawdown for FOR was -89.77%, occurring on Nov 20, 2008. Recovery took 3888 trading sessions.

The current SGML drawdown is -63.68%. The current FOR drawdown is -30.06%.

RankSGMLFOR
#1-89.91%
May 17, 2023 - Jun 25, 2025
-89.77%
Feb 12, 2008 - Jul 25, 2023
#2-36.52%
Jul 30, 2019 - Jul 21, 2020
-54.72%
Apr 9, 2024 - Apr 21, 2025
#3-32.27%
Oct 27, 2022 - Mar 3, 2023
-25.97%
Aug 7, 2023 - Nov 14, 2023
#4-25.41%
May 27, 2022 - Aug 4, 2022
-23.39%
Dec 24, 2007 - Feb 4, 2008
#5-23.65%
Jan 10, 2019 - Jul 30, 2019
-12.48%
Jan 22, 2024 - Mar 6, 2024
#6-22.76%
Jul 23, 2020 - Oct 2, 2020
-6.83%
Dec 27, 2023 - Jan 8, 2024
#7-22.64%
Jan 12, 2022 - Mar 17, 2022
-5.95%
Nov 22, 2023 - Dec 14, 2023
#8-22.03%
Apr 7, 2022 - May 27, 2022
-5.84%
Feb 4, 2008 - Feb 6, 2008
#9-19.73%
Oct 12, 2020 - Dec 23, 2020
-4.28%
Mar 8, 2024 - Mar 27, 2024
#10-16.38%
Apr 14, 2023 - May 15, 2023
-4.06%
Mar 28, 2024 - Apr 9, 2024
#11-16.25%
Sep 14, 2022 - Oct 4, 2022
-2.96%
Feb 7, 2008 - Feb 12, 2008
#12-15.96%
Aug 12, 2022 - Aug 24, 2022
-2.83%
Jan 8, 2024 - Jan 22, 2024
#13-15.81%
Aug 11, 2021 - Sep 8, 2021
-2.12%
Nov 15, 2023 - Nov 21, 2023
#14-14.84%
Aug 24, 2022 - Sep 12, 2022
-2.08%
Dec 13, 2007 - Dec 21, 2007
#15-14.52%
Feb 9, 2021 - May 3, 2021
-1.92%
Dec 14, 2023 - Dec 19, 2023

Correlation

Correlation between SGML and FOR is 0.12 which considered as a very weak or no correlation - the stocks move independently of each other.

0.12
-101

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