GetSwift Competitors

Delisted . USA . 
Stock . GetSwift Technologies Limited
GTSWQDelisted Stock  USD 0.0001  0.00  0.00%   
GetSwift Technologies competes with Topbuild Corp, Western Acquisition, Morgan Stanley, Sabra Healthcare, and Newpark Resources; as well as few others. The company classifies itself under Technology sector and is part of Software-Application industry. Analyzing GetSwift Technologies competition allows you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Investors sometimes prefer comparable analysis of GetSwift Technologies to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.
You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of GetSwift Technologies competition on your existing holdings.
  
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Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GetSwift Technologies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000850.00
Details
Naive
Forecast
LowNextHigh
0.00010.00010.0001
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.00010.00010.0001
Details

GetSwift Technologies Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between GetSwift Technologies and its competitors represents the degree of relationship between the price movements of corresponding pink sheets. A correlation of about +1.0 implies that the price of GetSwift and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of GetSwift Technologies does not affect the price movement of the other competitor.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
SEIC
+ 0.96
MS
KRG
+ 0.74
SEIC
KRG
+ 0.7
MS
MS
+ 0.66
WAVS
SEIC
+ 0.63
WAVS
KRG
+ 0.62
SBRA
  
High negative correlations   
CBTN
- 0.63
SEIC
NR
- 0.63
SBRA
KRG
- 0.6
CBTN
CBTN
- 0.59
MS
MS
- 0.54
BLD
SEIC
- 0.53
BLD

Risk-Adjusted Indicators

There is a big difference between GetSwift Pink Sheet performing well and GetSwift Technologies Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze GetSwift Technologies' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
All Fundamental Data

GetSwift Technologies Competitive Analysis

The better you understand GetSwift Technologies competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, GetSwift Technologies' competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across GetSwift Technologies' competition over several years is one of the best ways to analyze its investment potential.
    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
GTSWQ BLD WAVS MS SBRA NR SEIC CBTN KRG
 0.00 
 0.0001 
GetSwift
 3.27 
 373.05 
Topbuild
 3.24 
 11.05 
Western
 0.22 
 134.99 
Morgan
 0.33 
 18.41 
Sabra
 1.93 
 7.92 
Newpark
 0.82 
 80.82 
SEI
 2.08 
 24.50 
Citizens
 0.77 
 27.40 
Kite
Market Volatility
(90 Days Market Risk)
Very steady
Very steady
Not too volatile
Very steady
Not too volatile
Somewhat reliable
Very steady
Very steady
Very steady
Market Performance
(90 Days Performance)
Very Weak
Very Weak
Insignificant
Solid
OK
Very Weak
Solid
Very Weak
OK
Odds of Financial Distress
(Probability Of Bankruptcy)
Dangerous
Very Small
Average
Very Low
Low
Low
Low
Low
Below Average
Current Valuation
(Equity Enterprise Value)
Over Valued
Over Valued
Over Valued
Over Valued
Over Valued
Over Valued
Fairly Valued
Fairly Valued
Over Valued
Buy or Sell Advice
(Average Analysts Consensus)
Not Available
Strong Buy
Not Available
Buy
Strong Buy
Strong Buy
Buy
Not Available
Strong Buy
Trade Advice
(90 Days Macroaxis Advice)
Not Rated
Hold
Strong Sell
Strong Hold
Sell
Hold
Strong Buy
Hold
Strong Hold
Current Ratio
N/A
1.69
0.01
2.0
0.78
2.69
4.43
N/A
2.13
Net Asset
N/A
5.16 B
3.41 M
1.19 T
5.39 B
642.34 M
2.52 B
1.48 B
6.94 B
Profit Margin
-0.49
0.12
N/A
0.19
0.14
-0.21
0.27
N/A
-0.0118
EBITDA
(12.8 M)
1.05 B
(961.77 K)
23.55 B
418.15 M
64.73 M
424.52 M
N/A
556.48 M
Operating Margin
-0.47
0.18
N/A
0.33
0.36
0.0279
0.27
N/A
0.21
Current Valuation
(11.23 M)
12.34 B
38.05 M
77.86 B
6.78 B
666.07 M
9.52 B
N/A
9.01 B
Price To Book
0.0312
5.21
201.69
2.32
1.58
2.16
4.43
2.22
1.8
Retained Earnings
N/A
2.37 B
(3.2 M)
98 B
(1.72 B)
10.77 M
762.59 M
N/A
(1.37 B)
Current Asset
N/A
480.36 M
N/A
N/A
17.25 M
506.38 M
1 B
N/A
84.98 M
Five Year Return
N/A
N/A
N/A
2.52
9.02
N/A
1.18
N/A
6.39
Beta
0.0915
1.79
-0.21
1.34
1.24
2.88
0.97
N/A
1.31
Number Of Employees
200
14.01 K
N/A
80 K
48
1.55 K
5.06 K
9
229
Shares Outstanding
N/A
29.5 M
3.42 M
1.61 B
236.59 M
86.5 M
128.91 M
5.88 M
219.67 M
Cash Flow From Operations
(14.58 M)
849.41 M
(940.73 K)
(33.54 B)
300.57 M
100 M
447.03 M
18.74 M
394.65 M
Annual Yield
N/A
N/A
N/A
0.0275
0.0654
N/A
0.0114
0.0184
0.0394
Total Debt
N/A
1.57 B
204.22 K
276.39 B
2.45 B
92.44 M
25.35 M
14.27 M
3.06 B
Return On Equity
-1.55
0.27
-0.29
0.11
0.0346
0.0906
0.25
N/A
-0.0027
Z Score
N/A
N/A
N/A
N/A
N/A
N/A
N/A
9.0
N/A
Return On Asset
-0.29
0.12
-0.15
0.0094
0.0283
0.047
0.13
N/A
0.0145
Book Value Per Share
-0.027
72.1
-0.96
58.25
11.6
3.66
18.29
N/A
15.25
Number Of Shares Shorted
N/A
749.75 K
213
14.76 M
18.04 M
1.37 M
1.56 M
N/A
5.55 M
Current Liabilities
N/A
326.68 M
N/A
N/A
35.18 M
125.43 M
224.48 M
N/A
81.36 M
Total Asset
N/A
5.16 B
3.41 M
1.19 T
5.39 B
642.34 M
2.52 B
1.48 B
6.94 B
Target Price
0.75
444.36
N/A
122.91
19.59
11.25
78.8
N/A
30.22
Debt To Equity
N/A
0.96
5.87
3.42
0.76
0.37
0.015
N/A
0.79
Short Ratio
N/A
3.25
0.06
2.35
11.93
2.49
2.25
N/A
3.67
Last Dividend Paid
N/A
N/A
N/A
3.55
1.2
N/A
0.92
N/A
1.01
Shares Owned By Institutions
10.69
98.3
27.08
62.08
99.18
87.97
72.99
0.1
96.1
Market Capitalization
N/A
11.01 B
37.84 M
216.99 B
4.36 B
685.06 M
10.42 B
217.6 M
6.13 B
Price To Earning
N/A
20.28
N/A
13.51
67.37
41.78
19.7
14.72
220.3
Price To Earnings To Growth
N/A
N/A
N/A
3.91
3.15
1.82
1.25
N/A
N/A
Price To Sales
0.16
2.08
N/A
3.72
6.38
0.92
5.08
4.36
7.41
Net Income
(23.52 M)
614.25 M
(1.03 M)
9.23 B
13.76 M
14.52 M
462.26 M
16.74 M
47.5 M
Earnings Per Share
N/A
19.77
-0.22
6.59
0.41
0.38
4.15
2.99
-0.04
Shares Owned By Insiders
24.62
0.43
71.5
23.67
1.16
9.17
23.93
N/A
0.85
Revenue
33.84 M
5.19 B
N/A
53.61 B
655.85 M
749.6 M
1.92 B
55.46 M
823 M
Working Capital
N/A
1.28 B
(3.19 M)
N/A
311.89 M
220.94 M
1.13 B
N/A
(87.93 M)
Cash And Equivalents
N/A
240.07 M
618.56 K
122.72 B
49.05 M
23.18 M
791.44 M
N/A
115.8 M
Cash Per Share
N/A
3.85
0.04
325.7
0.21
0.21
5.87
N/A
0.69
Gross Profit
732.58 K
1.49 B
N/A
46.44 B
372.8 M
113.58 M
1.58 B
N/A
590.19 M
Day Typical Price
1.0E-4
369.87
11.16
134.57
18.45
7.86
80.61
24.5
27.35
Accumulation Distribution
N/A
0.0268
0.035
0.0179
0.0124
0.029
0.0093
N/A
0.0095
Market Facilitation Index
N/A
10.02
0.4
2.43
0.23
0.23
0.75
N/A
0.26
Daily Balance Of Power
0.0
1.177645
(0.93)
0.1235
0.2609
0.6522
0.88
9.2 T
0.8077
Period Momentum Indicator
N/A
11.8
(0.37)
0.3
0.06
0.15
0.66
0.5
0.21
Rate Of Daily Change
1.0
1.03
0.97
1.0
1.0
1.02
1.01
1.02
1.01
Day Median Price
1.0E-4
368.28
11.22
134.35
18.47
7.83
80.51
24.5
27.32
Price Action Indicator
N/A
10.67
(0.35)
0.79
(0.03)
0.17
0.64
0.25
0.18
Relative Strength Index
N/A
12.5
85.89
32.01
51.07
21.46
81.48
11.37
23.16
Coefficient Of Variation
N/A
(12,211)
2382.16
435.43
679.01
6017.14
406.64
(146,406)
701.75
Mean Deviation
N/A
1.67
1.07
1.29
1.23
1.77
0.7976
0.7029
0.7921
Jensen Alpha
N/A
(0.20)
0.1127
0.5046
0.2315
(0.22)
0.181
(0.02)
0.0814
Total Risk Alpha
N/A
(0.40)
(0.23)
0.1401
(0.03)
(0.36)
0.0942
(0.31)
(0.02)
Sortino Ratio
N/A
N/A
(0.02)
0.2549
0.0594
(0.04)
0.1671
N/A
0.0114
Downside Variance
N/A
N/A
8.28
1.85
3.13
4.9
0.9043
N/A
0.9781
Standard Deviation
N/A
2.34
1.95
2.08
1.6
2.46
1.18
1.89
0.9968
Kurtosis
N/A
0.9389
3.39
12.77
0.9282
3.17
5.29
9.98
(0.16)
Potential Upside
N/A
4.3
3.35
3.08
2.54
3.73
1.57
2.15
1.6
Treynor Ratio
N/A
(0.02)
(0.21)
(1.53)
(4.88)
0.0147
0.3423
(0.16)
0.3148
Maximum Drawdown
N/A
12.3
12.07
13.93
8.78
13.55
7.23
14.5
4.33
Variance
N/A
5.46
3.79
4.33
2.57
6.06
1.39
3.57
0.9937
Market Risk Adjusted Performance
N/A
(0.01)
(0.20)
(1.52)
(4.87)
0.0247
0.3523
(0.15)
0.3248
Risk Adjusted Performance
N/A
4.0E-4
0.0383
0.1824
0.1182
0.0196
0.1921
0.0054
0.1116
Skewness
N/A
0.2249
(0.07)
2.53
(0.39)
1.02
1.4
(0.71)
0.0419
Semi Deviation
N/A
N/A
1.54
0.865
1.53
2.1
0.6088
N/A
0.8056
Information Ratio
N/A
(0.06)
(0.03)
0.1668
0.0656
(0.04)
0.1349
(0.07)
0.0113
Value At Risk
N/A
(3.89)
(3.25)
(2.30)
(2.50)
(3.89)
(1.56)
(2.10)
(1.50)
Expected Short fall
N/A
N/A
(2.05)
(1.57)
(1.24)
(1.93)
(0.93)
N/A
(0.84)
Downside Deviation
N/A
N/A
2.88
1.36
1.77
2.21
0.951
N/A
0.989
Semi Variance
N/A
N/A
2.38
0.7482
2.35
4.42
0.3707
N/A
0.649

GetSwift Technologies Competition Performance Charts

Five steps to successful analysis of GetSwift Technologies Competition

GetSwift Technologies' competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by GetSwift Technologies in relation to its competition. GetSwift Technologies' competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors of GetSwift Technologies in the market, both direct and indirect, as well as new entrants and disruptive technologies.
  • Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
  • Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact GetSwift Technologies' competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to GetSwift Technologies, and developing a strategy to address them.
  • Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Complement your GetSwift Technologies position

In addition to having GetSwift Technologies in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

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Utilities - Regulated Electric
Utilities - Regulated Electric Theme
Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Utilities - Regulated Electric theme has 7 constituents at this time.
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Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.
You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

Other Consideration for investing in GetSwift Pink Sheet

If you are still planning to invest in GetSwift Technologies check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the GetSwift Technologies' history and understand the potential risks before investing.
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