Largest U.S. Common Stock Annual Dividend Yields through March 5, 2024
The math: sum(dividends paid) / average(close price). Data as of March 5, 2024 market close.
The dividend bias mitigation (correcting for dividends paid) is set to: 100.00%
0 MBI 1.89 MBIA Inc.
1 ZIM 0.50 Zim Integrated Shipping Services Ltd
2 SD 0.29 Sandridge Energy Inc
3 REVG 0.26 REV Group Inc
4 TRMD 0.26 Torm Plc
5 IEP 0.24 Icahn Enterprises L P
6 ORC 0.21 Orchid Island Capital Inc
7 CHMI 0.18 Cherry Hill Mortgage Investment Corporation
8 IVR 0.18 Invesco Mortgage Capital Inc
9 AGNC 0.16 AGNC Investment Corp
10 CION 0.16 CION Invt Corp
11 PNNT 0.16 PennantPark Investment Corporation
12 DSX 0.16 Diana Shipping Inc
13 GNL 0.16 Global Net Lease Inc
14 BBDC 0.16 Barings BDC Inc
15 TWO 0.16 Two Harbors Investment Corp
16 ICL 0.15 ICL Group Ltd
17 TPVG 0.15 TriplePoint Venture Growth BDC Corp
18 OXSQ 0.15 Oxford Square Capital Corp
19 EFC 0.15 Ellington Financial Inc
20 FSK 0.15 FS KKR Capital Corp
21 RC 0.15 Ready Capital Corp
22 ONTF 0.15 ON24 Inc
23 TRIN 0.15 Trinity Capital Inc
24 GBDC 0.15 Golub Capital BDC Inc
25 ARLP 0.15 Alliance Resource Partners LP
26 ACRE 0.15 Ares Commercial Real Estate Corp
27 NLY 0.14 Annaly Capital Management Inc
28 SACH 0.14 Sachem Capital Corp
29 LPG 0.14 Dorian LPG Ltd
30 MFA 0.14 MFA Financial Inc
31 ARI 0.14 Apollo Commercial Real Estate Finance Inc
32 CIM 0.14 Chimera Investment Corp
33 DX 0.14 Dynex Capital Inc.
34 TSLX 0.14 Sixth Street Specialty Lending Inc
35 FSCO 0.14 FS Credit Opportunities Corp
36 EURN 0.13 Euronav NV
37 GSBD 0.13 Goldman Sachs BDC Inc
38 UNIT 0.13 Uniti Group Inc
39 BRSP 0.13 BrightSpire Capital Inc
40 OBDC 0.13 Blue Owl Capital Corp
41 BGFV 0.13 Big 5 Sporting Goods Corp
42 NAT 0.13 Nordic American Tankers Ltd
43 PSEC 0.12 Prospect Capital Corp
44 MFIC 0.12 MidCap Financial Investment Corporation
45 BSM 0.12 Black Stone Minerals L.P.
46 RILY 0.12 B. Riley Financial Inc
47 FRO 0.12 Frontline Plc
48 TCPC 0.12 BlackRock TCP Capital Corp
49 OUT 0.12 Outfront Media Inc
50 PFLT 0.12 PennantPark Floating Rate Capital Ltd
51 BCSF 0.12 Bain Capital Specialty Finance Inc
52 KRP 0.12 Kimbell Royalty Partners LP
53 NMFC 0.12 New Mountain Finance Corp
54 KRO 0.12 Kronos Worldwide Inc.
55 CRBG 0.11 Corebridge Financial Inc.
56 HRZN 0.11 Horizon Technology Finance Corp
57 ARR 0.11 ARMOUR Residential REIT Inc
58 PK 0.11 Park Hotels & Resorts Inc
59 RITM 0.11 Rithm Capital Corporation
60 CSWC 0.11 Capital Southwest Corp.
61 FA 0.11 First Advantage Corp.
62 DEA 0.11 Easterly Government Properties Inc
63 DHT 0.11 DHT Holdings Inc
64 FLNG 0.10 Flex Lng Ltd
65 GLAD 0.10 Gladstone Capital Corp.
66 ARCC 0.10 Ares Capital Corp
67 OMF 0.10 OneMain Holdings Inc
68 GOOD 0.10 Gladstone Commercial Corp
69 CIO 0.10 City Office REIT Inc
70 ET 0.10 Energy Transfer LP
71 SBRA 0.10 Sabra Healthcare REIT Inc
72 SLG 0.10 SL Green Realty Corp.
73 MPLX 0.10 MPLX LP
74 SLRC 0.10 Solar Capital Ltd
75 SFL 0.10 SFL Corporation Ltd
76 HIW 0.09 Highwoods Properties Inc.
77 VTS 0.09 Vitesse Energy Inc
78 MAIN 0.09 Main Street Capital Corporation
79 KNTK 0.09 Kinetik Holdings Inc
80 GNK 0.09 Genco Shipping & Trading Limited
81 SPOK 0.09 Spok Holdings Inc
82 MO 0.09 Altria Group Inc.
83 OHI 0.09 Omega Healthcare Investors Inc.
84 BNS 0.09 Bank Of Nova Scotia
85 OCSL 0.09 Oaktree Specialty Lending Corp
86 GMRE 0.09 Global Medical REIT Inc
87 LADR 0.09 Ladder Capital Corp
88 VGR 0.09 Vector Group Ltd
89 TFSL 0.09 TFS Financial Corporation
90 AB 0.09 AllianceBernstein Holding Lp
91 HTGC 0.09 Hercules Capital Inc
92 CVI 0.09 CVR Energy Inc
93 SAVE 0.09 Spirit Airlines Inc
94 SU 0.09 Suncor Energy Inc.
95 SIGA 0.09 SIGA Technologies Inc
96 CNA 0.09 CNA Financial Corp.
97 KSS 0.09 Kohl`s Corp.
98 CGBD 0.09 Carlyle Secured Lending Inc
99 CM 0.08 Canadian Imperial Bank Of Commerce
100 STR 0.08 Sitio Royalties Corp
101 AMBP 0.08 Ardagh Metal Packaging S.A.
102 PBA 0.08 Pembina Pipeline Corporation
103 WES 0.08 Western Midstream Partners LP
104 HESM 0.08 Hess Midstream LP
105 NEP 0.08 NextEra Energy Partners LP
106 SPH 0.08 Suburban Propane Partners LP
107 AY 0.08 Atlantica Sustainable Infrastructure Plc
108 GSL 0.08 Global Ship Lease Inc
109 TU 0.08 Telus Corp.
110 WU 0.08 Western Union Company
111 PAA 0.08 Plains All American Pipeline LP
112 AM 0.08 Antero Midstream Corp
113 EPR 0.08 EPR Properties
114 EPD 0.08 Enterprise Products Partners L P
115 MFC 0.08 Manulife Financial Corp.
116 ENB 0.08 Enbridge Inc
117 PAX 0.08 Patria Investments Ltd
118 BCE 0.08 BCE Inc
119 LNC 0.08 Lincoln National Corp.
120 TRP 0.08 TC ENERGY CORP.
121 VZ 0.07 Verizon Communications Inc
122 EGBN 0.07 Eagle Bancorp Inc (MD)
123 FIBK 0.07 First Interstate BancSystem Inc.
124 NWBI 0.07 Northwest Bancshares Inc
125 BNL 0.07 Broadstone Net Lease Inc
126 LTC 0.07 LTC Properties Inc.
127 ONL 0.07 Orion Office REIT Inc
128 UWMC 0.07 UWM Holdings Corporation
129 DOC 0.07 Physicians Realty Trust
130 ETRN 0.07 Equitrans Midstream Corporation
131 KEY 0.07 Keycorp
132 EPM 0.07 Evolution Petroleum Corporation
133 WHR 0.07 Whirlpool Corp.
134 T 0.07 AT&T Inc.
135 D 0.07 Dominion Energy Inc
136 COLB 0.07 Columbia Banking System Inc.
An investor might use this data on historical yields to find companies to research for a value investment.
In the good case scenario, these firms have sustainable and growing distributable cash flow, while the market lowered their stock price. This happens when risk-free interest rates rise, and slow/no growth cash cows are repriced.
In the typical case, these firms are long-term, cash generation businesses like REITs, MLPs, and BDCs and either they had a one-off distribution (one MLP fought a short-seller that way), or a unique windfall (e.g., ocean shippers during the pandemic).
In a bad case scenario, the firms recently lost their cash flow, or spun out their cash generator, and the market is repricing them.
Most of the top names on this list are master limited partnerships or publicly traded investment vehicles such as investment companies, business development corporations, real estate investment trusts and holding companies. A few are operating companies with windfall profits (think pandemic-related supply chain businesses), spin-offs or M&A activity (returning capital to shareholders), companies whose expected fortunes have changed (driving down their share prices) or in one case an investment vehicle that battled a short seller's attack by raising dividends.
Further down the list you find operating companies that traditionally pay a high dividend (think utilities, telecommunications or low-growth cash cows) , who have boosted their dividends further to compete for investment dollars with rising US Treasury Bill rates.
Past dividend yields are not a guarantee of future dividend yields. Do your due diligence and learn their stories before you invest.
Some stocks pay a consistent dividend that is a sustainable percentage of profits and free cash flow (e.g., 20% to 50%). As the company grows profits and cash flow, it can afford to grow and maintain higher dividend rates. This also works in reverse. When a company becomes less profitable, it feels pressure to shrink or eliminate its dividend. The payment of dividends is somewhat independent of the price of the shares, and so we can occasionally find bargains or mis-priced securities.
There are exceptions to the 'sustainable dividend' story above. Some companies pay a one-time dividend to return cash to shareholders. This could be due to a windfall profit (e.g., winning a lawsuit), or restructuring their business (e.g., sell or spin-out a business).
As risk-free interest rates change, it significantly changes the valuation of stocks with high dividends and slow growth. This is one impact of U.S. Federal Reserve Bank, Federal Open Market Committee decisions, and fixed income markets, as they impact both bond and equity investors. When market interest rates rise, bond and equity market valuations fall, and vice versa.
You should not assume that a company will continue to pay dividends, nor pay them at the same rate. The decision to pay a dividend, and the amount paid, is based on earnings and availability of suitable investments available to the company. Companies change their dividend policies & dividend amounts frequently.
Money losing companies that pay dividends
You may also notice that a few companies are not profitable, but paid significant dividends over the past year. There are three simple cases that we think about:
1. The company was, but is no longer profitable
2. The company is designed to pay dividends based on operating cash flows (e.g., REITS or MLPs) but have 'non-cash' expenses like depreciation or amortization to cause an accounting loss.
3. The company paid a small dividend percentage, but then the stock price declined.
We use a novel method to compare stock dividend payouts. It divides the actual dividends paid by the average closing share price. This is an actual, historical dividend yield for an owner of the stock every day for the past year. This is not a forward-looking dividend yield, which is what you typically see. We use it in our platform.
Dividend payout: (1 + dividend %)
A. 1.15 = 15% payout
B. 1.00 = no dividend
C. 1.012 = 1.2% dividend yield (e.g., stock ABC paid $1.20 last year, and had an average close price of $100)
Do your due diligence, learn their stories, and decide where you will invest. Each of these stocks has a story.
We were attracted to a particular dividend stock. It pays a high dividend, generates significant free cash flow, and is a consistent performer. This stock fell almost in lock-step with the rise of interest rates. This is because high dividend stocks can often look like a bond but with equity risk. One current example is Verizon $VZ. The dividends they pay are worth less on a weighted average cost of capital basis (e.g., if you can earn 5.5% in a no-risk US Treasury, the relative value of a 7.5% dividend is lower). Verizon also holds significant amounts of corporate debt, which gets more expensive to renew or roll-over into higher interest rate markets (like we have today).
The simple answer is it reduces your risk. Each year a portion of your investment, or a return on your investment, is paid.
Why avoid dividend-paying stocks?
On the other hand, dividends are taxed twice, once as the company generates the profit to pay them, and twice as you receive the dividend. In most situations, dividends are taxed higher than capital gains, so there is almost a 'triple tax' on dividends.
As an example of double taxation from dividends, a dollar earned by a company yields $0.70 after corporate taxes. They pay the $0.70 to shareholders who then pay Federal and State taxes of 40% on that income, yielding a final amount of $0.42 (out of the original dollar), or a tax of 58%.
Can you avoid double taxation on dividends?
Case 1: Invest in companies that reinvest earnings into growth (e.g., Amazon's strategy) so no tax would be paid and the company is expected to grow future earnings more quickly. In that case, no current tax is paid.
Case 2: Invest in companies that use free cash flow to increase per-share, shareholder equity. In this case, the company earns income, pays corporate taxes of $0.30, and uses the $0.70 (after taxes) to buy back shares of stock or pay down debt. The investor, in theory, could defer their share of taxes indefinitely by not selling their shares, or sells them after a year and pays lower capital gains taxes as low as 15%. In this case, the tax paid in the current year is $0.30 or $0.405 if the stocks were sold after one year.
Case 3: Look into master limited partnerships which pass through to the investor their financial performance and distributions. Their financial performance affects your basis in the stock, and is taxable, which may offset cash distributions at tax time.
Consulting Session
This is a one-hour meeting, remote or in-person, with Jeffrey Cohen, President of U.S. Advanced Computing Infrastructure, Inc.
You choose the topic and deliverables.
You may buy multiple hours to fund a project.
We believe management consulting is pursuing "the art of the possible." These are areas where we believe we may be helpful:
- We will discuss our research into the South China Sea
- We offer traditional IT management consulting services.
- We offer quantum computing consulting
- We offer financial investment analysis of stock portfolios based on our Chicago Quantum Net Score (read more in our published research). Today we run a model that analyzes ~3,000 U.S. listed equities and optimizes both 'long' and 'short' stock portfolios.
- Project and program management.
- Outsourcing advisory.
- We run your business problem on our discrete mathematical models (on our own server equipment using our own solvers).
- We may configure and run your problem on quantum annealing computers from D-Wave Systems Inc.
- We ALWAYS work confidentially, diligently, free of conflict of interest, and bring our best thinking and insights.
We can operate at both the strategic and tactical level depending on client need. This includes business strategy, business problem decomposition, mathematical and data design, algorithm design, and use of quantum and classical solvers. The President has a strategic perspective from ~ 30 years of executive corporate management in IT and professional services, and also rolls up his sleeves and codes when there is a good fit with the problem and his expertise.
Absolute discretion and professionalism is assured.
In closing
If you would prefer to discuss this 1:1 and negotiate a scope of work and level of effort, please contact us at jeffrey@quantum-usaci.com or call (312) 515-7333. We will develop a quotation and will invoice for our services.
US stock market analysis (LONG)
A comprehensive, quantitative analysis of the US stock market to find optimal portfolios.
It is performed daily after market close based on a year of historical data. It checks ~10,000 US tickers that traded that day, finds those that pass data validation (~3,000), then searches through potential U.S. equity portfolio combinations to find optimal US-listed common stock portfolios.
We run the analysis on our in-house platform using data provided by Intrinio, our premium, market data services provider. Once complete, we review and send you a report and data files.
Our model finds the U.S. common stock portfolio with the largest net difference between expected returns and historical risk, on a normalized basis (equalize the units, then subtract the values). This finds portfolios with the largest difference between historical risk and expected returns (using BETA values calculated using the S&P 500 Equity Index ETF, applied against historical U.S. stock market returns and current risk-free interest rates).
For more information on the math and logic, we released the Chicago Quantum Net Score into the academic domain via via three arXiv pre-print articles that have been cited numerous times in other academic works.
We provide clients with the top 25 U.S. equity portfolios in order of their Chicago Quantum Net Score. We also provide a spreadsheet with summary statistics, in order of their individual Chicago Quantum Net Score, for all stocks that pass data validation.
We provide numerous descriptive statistics about the stocks we analyze that are produced by our model and highlight non-normal distributions we find interesting.
How does this work for investors?
Optimized portfolios near the top of the list may outperform the US equity market by having lower price volatility and higher expected returns because it attracts investor attention and investment. Optimized at portfolio should advance aggressively and with less volatility as markets advance. We have seen significant investor attention and volume in stocks at or near the top of our Chicago Quantum Net Score stocks. Anecdotal evidence suggests that this model currently works. The stocks at the top of the list are doing well, stocks rising towards to top of the list do well, and many of these stocks have risen (and fallen) aggressively as they trend higher.
In our managed separate accounts offering based on this model, we typically hedge against market declines as markets do not move in a single direction.
Clients may suggest change requests to evolve our analysis.
What you receive:
A system generated output text report, containing the results of the analysis, including the 25 most optimized U.S. common stock portfolios we found that day. The report includes the following:
- Market index variance
- Expected market return to risk, and risk-free rate
- Calibration: Normalizing our 'all stock portfolio' and what it looks like.
- 25 stocks with the best CQNS scores
- 25 stocks with the worst CQNS scores
- 25 stocks with the highest relative volume vs. 253 day average
- 25 stocks with the lowest relative volume
- 25 stocks with the largest increases in stock price
- 25 stocks with the largest decrease in stock price
- 25 stocks with the largest BETA
- 25 stocks with the smallest, positive BETA
- All stocks with excessive positive skewness
- All stocks with excessive negative skewness
- All stocks that are extremely leptokurtic and have low variance
- All stocks that are extremely platykurtic and have low variance
- 25 optimized portfolios (in order of CQNS)
- All stocks that passed data validation, in order of CQNS score, with the following values:
- Rank (integer)
- Ticker (text)
- Company Name (text)
- CQNS Score (decimal)
- Expected Return (%)
- Actual Dividend Yield (1 + % yield)
- BETA (decimal)
- Market Capitalization (equity, $)
- All stocks that paid 7% or more in dividends or distributions in the past year
- All stocks with negative BETA (this list may contain select ETFs)
A spreadsheet with individual, descriptive metrics on each stock that passed data validation, including individual Chicago Quantum Net Scores. The spreadsheet contains a row for each stock including:
- Company ticker and name
- CQNS ranking & score (a decimal value)
- Expected returns (% for next year)
- Volume for each stock (% prior year average)
- Price Change (% prior year average)
- Stock variance (one year actual, normalized to allow comparison)
- Dividends paid (% prior year average price)
- BETA (vs. SPY, daily over one year)
- Equity market capitalization ($)
We are considering to add new statistics we use such as skewness and kurtosis. Please let us know your preferences for future runs.
Timing:
We run our analysis each night after 6pm ET to ensure complete trading day information, and will send you the report and spreadsheet once completed.
What you do:
You provide us with the following information as you place your order:
- Your name, physical address, email address & phone number
- Any special requests, instructions, or actionable objectives
- How you would like to receive your report and spreadsheet (if not by email). We use Google Drive, Slack, Whatsapp, Microsoft Teams/Office, and other collaboration technologies.
You may also call or email us with your information.
- Email: jeffrey@quantum-usaci.com
- Cell: +1.312.515.7333
Please pay at the time of online order. You may request and pay based on an invoice. We accept payment via cash, check, ACH, or through online payment processor.
- We will never sell, nor use your personal information.
- We will only share your information if legally required. We request your physical address for FINRA/U.S. S.E.C./State reporting purposes.
Thank you for your order and your business.
US stock market analysis (SHORT)
This service is a comprehensive analysis of the US stock market to find a portfolio of stocks to short or avoid in your portfolio. It is performed after market close. It checks ~10,000 US tickers that trade, finds those that pass data validation (~3,000 currently), then it searches within a very great many U.S. stock portfolio combinations to find the optimal US-listed common stock portfolio to avoid, or short.
It takes us a few hours to run the analysis on our powerful in-house server using our proprietary software platform and code, accessing a full set of premium, market data services from Intrinio with every run.
Finally, we then spend a few minutes reviewing the results and pulling them together into an email or data drop for you.
The optimal "DOWN or SHORT" US-listed common stock portfolio is one with the largest net historical risk less expected future return. It should perform worse than a passive US equity index fund such as the famous 500, technology 100 or small cap 2000.
We invented the Chicago Quantum Net Score and wrote the code to determine the best way to do this. We released the ideas into the public domain before COVID via three arXiv articles and have been cited numerous times in other academic works. The logic still holds.
We don't like the idea of giving a potential investor only one option as it could cause crowding into a specific portfolio. Therefore, we give clients the top 25 portfolios in order of their Chicago Quantum Net Score. We also provide a spreadsheet with summary statistics for all stocks that passed data validation.
We also provide other interesting statistics about the stocks we analyzed that are produced by our model (see list).
How does this work for investors?
The optimal "DOWN" portfolio, if things continue as they were, is expected to underperform the US equity market by having higher price volatility and lower expected returns. That should result in a portfolio that moves erratically but does not advance quickly and steadily when markets advance.
What we found anecdotally is that these stocks are often MEME stocks or move very quickly without a true sense of direction. They often seem like 'scam' stocks. They are very risky stocks to hold, and tend to fall in price.
This portfolio can be used as a hedge for long US stock portfolios to protect against downside market risk. We did that when we ran our portfolio simulation for our separately managed accounts. We hedged the optimal long portfolio with the optimal short portfolio since that made the most logical sense to us.
By way of a proof point, we have run A/B analysis of profitable and unprofitable company stocks. Unprofitable company stocks tend to have far higher price volatility. Couple that with a company that is not 'going anywhere' and you can start to build a picture. With supporting fundamental analysis, you can select short stocks with significantly negative net income, negative book value, and debt to really drive poor stock performance.
If you become a repeat client, you can ask us to customize things.
What you receive:
A set of 25 optimized stock portfolios that are the most inefficient, and have the worst risk-return trade-off, along with their portfolio CQNS score. This allows our clients to tailor their holdings with known impacts to their mathematical advantage over a passive US equity index.
These tend to be very small portfolios of one to three stocks, because diversification improves them too much. When we used this analysis for our separate managed accounts simulation, we only had three short stocks at a time. A client can pick a few short names from the ordered list of stocks and usually back up the quantitative analysis with supporting fundamental analysis.
In addition to finding and providing a set of optimized stock portfolios by CQNS score, we provide additional analytical deliverables, as follows:
For each stock that passed data validation, over the past 253 trading days:
- CQNS score for each stock
- Volume for each stock (% prior year average)
- Price Change (% prior year average)
- BETA (vs. SPY)
- Dividends paid (% prior year average price)
- Expected returns (% for next year)
- Equity market capitalization ($)
- Stock variance for each stock, normalized to allow comparison.
For stocks that beat a threshold value over the past 253 trading days:
- Non-normal distributions in fourth-order price distribution (kurtosis) and low daily price variance
- Non-normal distributions in the third-order price distribution (skewness)
- Stocks with negative, high, or low BETA values (BETA vs. SPY).
- Stocks with large price changes (% of average)
- Stocks with volume spikes (# of days volume)
Timing:
Once we see that you purchased the service, we initiate the analysis after 7pm ET to ensure complete trading day information.
We email, upload or file transfer to you the model output in a text file with a spreadsheet (.CSV) before the next market open, and sometimes before midnight ET.
What you do:
- You provide us with the following information as you place your order:Your name, physical address, email address & phone number
- Any special requests, instructions, or actionable objectives
- How you would like to receive your report and spreadsheet (if not by email). We use Google Drive, Slack, Microsoft Teams/Office, and other collaboration technologies.
- You may also call or email us with your information.Email: jeffrey@quantum-usaci.com
- Cell: +1.312.515.7333
For repeat orders, you may request an invoice. We accept payment via check, ACH, or through an online payment processor (secure).
We will not sell or share your information unless legally required.
Thank you for your order and your business.
Investment Planning Workshop
We will spend time to understand your investing experience, your degree of risk aversion, your needs and wants for future income, and any special circumstances relevant to your investments.
We run a Chicago Quantum Net Score analysis for the client in advance of the workshop. If relevant to the discussion, we will present those findings.
This service consists of multiple calls and meetings, document and account reviews, a live workshop to discuss potential strategies and options, time to document, analyze and conclude with an investment strategy. We include time for open discussion and to answer client questions.
By the end of the workshop, and through the development of the investment plan, we have built a better understanding of your situation and found a mix of investment options, including stock portfolios that may be attractive (either long or short).
The client benefits from a better understanding of their financial situation, any gaps between their investments and their investment strategy, and (hopefully) has increased their financial literacy with a trusted service provider.
The workshop portion of the service is intended to be delivered onsite with the client. It can also be spread over two days to accommodate schedules.
This includes up to 15 hours of work from our Investment Advisor Representative over a one-week period.
Monthly membership
Gain insider access to our research and analysis. Members receive these benefits:
- Access to our stock market videos on youtube.
- Access to our written BLOG posts and Medium articles.
- Access to social media posts.
- A 30-minute monthly phone call to discuss the markets
- Monthly newsletter.
- Pre-market alerts: we will occasionally send pre-market alerts on top stock picks or quantitative insights from our Chicago Quantum Net Score model. These can include whether markets are risk-on or risk-off, changes in historical price volatility, model positioning, or the 'edge' or confidence of the model long or short portfolios.
- Each week, a full run of the CQNS Long Analysis (typically on Tuesday)
Your membership supports our business and expenses. This is a monthly charge.
ToughBuilt Industries Stock Price Valuation & Analysis
Jeffrey Cohen, President and Investment Advisor Principal, will spend time with you (up to four hours during one day) to openly discuss our valuation of ToughBuilt Industries Common Stock, ticker sign $TBLT. Valuation includes more than financials, but also looks at the market and strategic positioning of the firm.
We will discuss our due diligence performed on this stock, which is 100% based on publicly available information. We will review recent press releases and SEC filings and our take on the company's progress towards profitability.
We will discuss our current spreadsheet with the valuation of ToughBuilt Industries common stock.
However, we will not share any non-public or confidential information.
We plan to have an interesting and insightful conversation with you. We are long the stock, and will share our public due diligence with you through-out the discussion.