Tearsheet

FactSet Research Systems (FDS)


Market Price (12/24/2025): $290.41 | Market Cap: $11.0 Bil
Sector: Financials | Industry: Financial Exchanges & Data

FactSet Research Systems (FDS)


Market Price (12/24/2025): $290.41
Market Cap: $11.0 Bil
Sector: Financials
Industry: Financial Exchanges & Data

Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.


0 Attractive yield
Total YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 6.9%, FCF Yield is 5.6%
Weak multi-year price returns
2Y Excs Rtn is -79%, 3Y Excs Rtn is -109%
Key risks
FDS key risks include [1] a reported material weakness in its internal control over financial reporting related to IT general controls.
1 Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 31%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 27%
  
2 Valuation becoming less expensive
P/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -36%
  
3 Low stock price volatility
Vol 12M is 29%
  
4 Megatrend and thematic drivers
Megatrends include Fintech & Digital Payments, Cloud Computing, and Digital & Alternative Assets. Themes include Wealth Management Technology, Show more.
  
0 Attractive yield
Total YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 6.9%, FCF Yield is 5.6%
1 Attractive cash flow generation
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 31%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 27%
2 Valuation becoming less expensive
P/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -36%
3 Low stock price volatility
Vol 12M is 29%
4 Megatrend and thematic drivers
Megatrends include Fintech & Digital Payments, Cloud Computing, and Digital & Alternative Assets. Themes include Wealth Management Technology, Show more.
5 Weak multi-year price returns
2Y Excs Rtn is -79%, 3Y Excs Rtn is -109%
6 Key risks
FDS key risks include [1] a reported material weakness in its internal control over financial reporting related to IT general controls.

Valuation, Metrics & Events

FDS Stock


Why The Stock Moved


Qualitative Assessment

AI Analysis | Feedback

I am unable to provide information on stock movements for the period between August 31, 2025, and December 24, 2025, as this time frame is in the future. My capabilities are limited to historical data up to my last training update. Show more

Stock Movement Drivers

Fundamental Drivers

The 1.3% change in FDS stock from 9/23/2025 to 12/23/2025 was primarily driven by a 10.4% change in the company's Net Income Margin (%).
923202512232025Change
Stock Price ($)287.27290.881.26%
Change Contribution ByLTMLTM
Total Revenues ($ Mil)2287.032321.751.52%
Net Income Margin (%)23.30%25.72%10.36%
P/E Multiple20.4318.40-9.95%
Shares Outstanding (Mil)37.9137.770.37%
Cumulative Contribution1.26%

LTM = Last Twelve Months as of date shown

Market Drivers

9/23/2025 to 12/23/2025
ReturnCorrelation
FDS1.3% 
Market (SPY)3.7%3.2%
Sector (XLF)3.1%34.8%

Fundamental Drivers

The -33.1% change in FDS stock from 6/24/2025 to 12/23/2025 was primarily driven by a -39.6% change in the company's P/E Multiple.
624202512232025Change
Stock Price ($)434.59290.88-33.07%
Change Contribution ByLTMLTM
Total Revenues ($ Mil)2254.222321.753.00%
Net Income Margin (%)24.07%25.72%6.85%
P/E Multiple30.4518.40-39.58%
Shares Outstanding (Mil)38.0237.770.65%
Cumulative Contribution-33.07%

LTM = Last Twelve Months as of date shown

Market Drivers

6/24/2025 to 12/23/2025
ReturnCorrelation
FDS-33.1% 
Market (SPY)13.7%7.1%
Sector (XLF)7.8%30.0%

Fundamental Drivers

The -39.9% change in FDS stock from 12/23/2024 to 12/23/2025 was primarily driven by a -46.3% change in the company's P/E Multiple.
1223202412232025Change
Stock Price ($)483.72290.88-39.87%
Change Contribution ByLTMLTM
Total Revenues ($ Mil)2203.062321.755.39%
Net Income Margin (%)24.38%25.72%5.47%
P/E Multiple34.2518.40-46.27%
Shares Outstanding (Mil)38.0337.770.69%
Cumulative Contribution-39.87%

LTM = Last Twelve Months as of date shown

Market Drivers

12/23/2024 to 12/23/2025
ReturnCorrelation
FDS-39.9% 
Market (SPY)16.7%36.6%
Sector (XLF)15.7%48.4%

Fundamental Drivers

The -24.7% change in FDS stock from 12/24/2022 to 12/23/2025 was primarily driven by a -50.6% change in the company's P/E Multiple.
1224202212232025Change
Stock Price ($)386.30290.88-24.70%
Change Contribution ByLTMLTM
Total Revenues ($ Mil)1843.892321.7525.92%
Net Income Margin (%)21.53%25.72%19.46%
P/E Multiple37.2818.40-50.65%
Shares Outstanding (Mil)38.3137.771.41%
Cumulative Contribution-24.72%

LTM = Last Twelve Months as of date shown

Market Drivers

12/24/2023 to 12/23/2025
ReturnCorrelation
FDS-36.7% 
Market (SPY)48.4%37.2%
Sector (XLF)52.3%45.7%

Return vs. Risk


Price Returns Compared

 202020212022202320242025Total [1]
Returns
FDS Return25%47%-17%20%2%-39%15%
Peers Return38%43%-24%32%15%-8%110%
S&P 500 Return16%27%-19%24%23%17%114%

Monthly Win Rates [3]
FDS Win Rate58%83%50%67%42%25% 
Peers Win Rate63%63%37%60%53%50% 
S&P 500 Win Rate58%75%42%67%75%73% 

Max Drawdowns [4]
FDS Max Drawdown-24%-11%-28%-4%-17%-47% 
Peers Max Drawdown-26%-8%-35%-5%-8%-20% 
S&P 500 Max Drawdown-31%-1%-25%-1%-2%-15% 


[1] Cumulative total returns since the beginning of 2020
[2] Peers: SPGI, MCO, MSCI, MORN, TRI. See FDS Returns vs. Peers.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2025 data is for the year up to 12/23/2025 (YTD)

How Low Can It Go

Unique KeyEventFDSS&P 500
2022 Inflation Shock2022 Inflation Shock  
2022 Inflation Shock% Loss% Loss-28.7%-25.4%
2022 Inflation Shock% Gain to Breakeven% Gain to Breakeven40.2%34.1%
2022 Inflation ShockTime to BreakevenTime to Breakeven881 days464 days
2020 Covid Pandemic2020 Covid Pandemic  
2020 Covid Pandemic% Loss% Loss-33.7%-33.9%
2020 Covid Pandemic% Gain to Breakeven% Gain to Breakeven50.9%51.3%
2020 Covid PandemicTime to BreakevenTime to Breakeven72 days148 days
2018 Correction2018 Correction  
2018 Correction% Loss% Loss-22.4%-19.8%
2018 Correction% Gain to Breakeven% Gain to Breakeven28.9%24.7%
2018 CorrectionTime to BreakevenTime to Breakeven133 days120 days
2008 Global Financial Crisis2008 Global Financial Crisis  
2008 Global Financial Crisis% Loss% Loss-54.9%-56.8%
2008 Global Financial Crisis% Gain to Breakeven% Gain to Breakeven121.6%131.3%
2008 Global Financial CrisisTime to BreakevenTime to Breakeven361 days1,480 days

Compare to CBOE, TW, MKTX, DFIN, SPGI

In The Past

FactSet Research Systems's stock fell -28.7% during the 2022 Inflation Shock from a high on 12/29/2021. A -28.7% loss requires a 40.2% gain to breakeven.

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Asset Allocation

Actively managed asset allocation strategies protect wealth. Learn more.

About FactSet Research Systems (FDS)

FactSet Research Systems Inc., a financial data and analytics company, provides integrated financial information and analytical applications to the investment community in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company delivers insight and information through the workflow solutions of research, analytics and trading, content and technology solutions, and wealth. It serves portfolio managers, investment banks, asset managers, wealth advisors, corporate clients, and other financial services entities. FactSet Research Systems Inc. was founded in 1978 and is headquartered in Norwalk, Connecticut.

AI Analysis | Feedback

Here are 1-3 brief analogies for FactSet Research Systems (FDS):

  • The Bloomberg Terminal for financial research and analytics.
  • Salesforce for investment firms, providing essential financial data and analytical software.

AI Analysis | Feedback

  • FactSet Workstation: An integrated software platform providing financial professionals with access to comprehensive data, analytics, and reporting tools.
  • Financial Data Feeds & APIs: Direct delivery of vast datasets, including company fundamentals, market prices, estimates, and alternative data, for integration into client systems.
  • Portfolio & Risk Analytics: Specialized tools for investment professionals to measure performance, analyze risk, optimize portfolios, and conduct attribution.
  • Wealth Management Platform: Tailored solutions for wealth advisors, offering tools for client engagement, portfolio modeling, and reporting.
  • Research Management Solutions: Tools designed to help investment firms streamline their research workflows, foster collaboration, and manage compliance.

AI Analysis | Feedback

Major Customers of FactSet Research Systems (FDS)

FactSet Research Systems (FDS) primarily sells its integrated financial information, analytical applications, and industry-leading services to other companies, making it a business-to-business (B2B) provider.

Due to the confidential nature of client relationships and the vast number of institutional customers FactSet serves globally (tens of thousands of financial professionals across thousands of firms), specific names of its individual major customer companies are not publicly disclosed. Instead, FactSet serves a broad range of firms within the global financial industry. Its primary customer categories include:

  • Investment Management Firms (Buy-Side): This is FactSet's largest client segment. It encompasses a wide array of institutions such as asset managers, mutual funds, hedge funds, private equity firms, pension funds, and wealth management firms. These clients utilize FactSet for comprehensive portfolio analysis, investment research, risk management, and trading workflows.
  • Investment Banking and Brokerage Firms (Sell-Side): This category includes investment banks, broker-dealers, and their research departments. They leverage FactSet for activities such as M&A advisory, equity research, debt capital markets, and sales & trading.
  • Corporations and Private Equity Firms: FactSet serves corporate finance departments, investor relations teams, and private equity firms for strategic planning, competitive analysis, and due diligence processes.

AI Analysis | Feedback

Amazon.com, Inc. (AMZN)

S&P Global Inc. (SPGI)

Moody's Corporation (MCO)

MSCI Inc. (MSCI)

AI Analysis | Feedback

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Phil Snow – Chief Executive Officer

Phil Snow joined FactSet in 2000, serving as President from 2014 to 2016 before being appointed Chief Executive Officer in 2017. Prior to his CEO role, he held various positions including Senior Vice President, Director of Americas Sales, and Regional Sales Manager. He holds an MBA from Columbia Business School and a B.A. in History from Bowdoin College. No information is readily available regarding him founding or managing other companies, selling companies to an acquirer, or managing companies backed by private equity firms.

Kristin Snow – Chief Financial Officer

Kristin Snow has been with FactSet since 1998 and was appointed Chief Financial Officer in 2023. Before her current role, she served as Senior Vice President, Chief Accounting Officer, and Global Controller. She is a Certified Public Accountant and earned her B.S. in Accounting from the University of Massachusetts, Amherst. No information is readily available regarding her founding or managing other companies, selling companies to an acquirer, or managing companies backed by private equity firms.

Sophie Adams – Chief Content Officer

Sophie Adams serves as FactSet's Chief Content Officer.

Linda H. Smith – Chief Product Officer

Linda H. Smith is the Chief Product Officer at FactSet.

Serban Ursachi – Chief Technology Officer

Serban Ursachi holds the position of Chief Technology Officer at FactSet.

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AI Analysis | Feedback

The key risks to FactSet Research Systems (FDS) include:

  1. Material Weakness in Internal Control Over Financial Reporting: FactSet has reported a material weakness in its internal control over financial reporting, specifically related to IT general controls. This issue, if not adequately addressed, could undermine investor confidence and potentially lead to financial misstatements. The company has acknowledged this weakness, and its independent registered public accounting firm has issued an adverse opinion, highlighting the urgency for remediation.
  2. Dependence on the Financial Services Industry and Economic Conditions: FactSet's client base is heavily concentrated within the financial services industry. This concentration makes the company susceptible to industry-specific risks, such as economic downturns, changes in regulations, or shifts in investment strategies (e.g., the shift from active to passive investing). Such factors could directly impact client spending and, consequently, FactSet's revenue streams and profitability.
  3. Cybersecurity, Technology, and Data Security Risks: FactSet faces significant risks from potential cyber-attacks, unauthorized access to confidential data, and failures in its cybersecurity systems. The company's reliance on third-party service providers and its increasing use of mobile and cloud technologies, along with the expansion of AI technologies, further amplify these risks, potentially leading to business disruption, compliance issues, or reputational damage.

AI Analysis | Feedback

The emergence of specialized FinTech startups leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) models, particularly Large Language Models (LLMs), to provide highly efficient and automated financial research and analytical tools. These solutions excel at processing vast amounts of unstructured data (e.g., earnings call transcripts, news, regulatory filings) to deliver rapid insights and summaries, directly challenging FactSet's traditional research workflows and the value proposition of its integrated platform. Companies like AlphaSense illustrate this trend, attracting users with best-of-breed capabilities for specific analytical needs.

AI Analysis | Feedback

The addressable markets for FactSet Research Systems' main products and services are primarily within the global financial data and analytics sector, as well as specific segments like investment management software and wealth management technology.
  • The global financial data and analytics market size was valued at USD 283.4 billion in 2022 and is projected to reach USD 735.2 billion by 2032.
  • The global investment management software market size was valued at USD 5.76 billion in 2022 and is projected to reach USD 14.88 billion by 2032.
  • The global wealth management software market size was USD 4.8 billion in 2023 and is projected to reach USD 16.5 billion by 2032.

AI Analysis | Feedback

FactSet Research Systems (FDS) is expected to drive future revenue growth over the next 2-3 years through several key initiatives and market trends:

  1. Expansion in the Wealth Management Segment: FactSet continues to focus on expanding its presence in the wealth management sector. The company aims to achieve this by offering specialized solutions that cater to the unique needs of wealth managers, including enhanced portfolio analytics, reporting, and client engagement tools. This strategic focus is expected to capture a larger share of this growing market segment.
  2. Growth in Content and Technology Solutions (CTS): FactSet's Content and Technology Solutions segment is anticipated to be a significant driver of revenue. This includes leveraging its robust data feeds, analytics, and technology platforms to attract new clients and deepen relationships with existing ones. Ongoing investments in data enrichment and technological advancements within CTS are designed to enhance its value proposition and drive adoption.
  3. Strategic Pricing and Value Realization: The company is expected to continue optimizing its pricing strategies to reflect the increasing value and breadth of its offerings. This includes potential for modest price increases where justified by product enhancements, increased functionality, and superior client service, thereby contributing to organic revenue growth.
  4. Increased Adoption of Open-Platform Solutions: FactSet's commitment to an open platform strategy, allowing for greater integration and customization, is likely to attract a broader range of financial professionals. By providing flexible and interconnected solutions, FactSet can enhance user stickiness and drive further consumption of its services across various workflows, leading to increased subscription revenue.
  5. International Market Penetration: While not explicitly detailed in every recent report, FactSet has historically pursued opportunities in international markets. Continued efforts to expand its client base and deepen its market penetration in key regions outside of its core markets, through localized solutions and increased sales presence, represent a potential avenue for future revenue growth.

AI Analysis | Feedback

Share Repurchases

  • FactSet's Board of Directors authorized an additional $300 million for its share repurchase program in June 2024, bringing the total authorized amount to $600 million.
  • During fiscal year 2023, FactSet repurchased approximately $300 million of its common stock.
  • In fiscal year 2022, FactSet repurchased $268.4 million of its common stock.

Outbound Investments

  • FactSet completed the acquisition of CUSIP Global Services (CGS) from S&P Global for approximately $1.925 billion in March 2022.
  • FactSet acquired Cobalt Software, a private markets data and software provider, in March 2021.

Capital Expenditures

  • Capital expenditures were $55.4 million in fiscal year 2023.
  • Capital expenditures were $60.2 million in fiscal year 2022.
  • The primary focus of capital expenditures generally relates to investments in technology infrastructure, data center improvements, and office facilities.

Better Bets than FactSet Research Systems (FDS)

Trade Ideas

Select ideas related to FDS. For more, see Trefis Trade Ideas.

Unique KeyDateTickerCompanyCategoryTrade Strategy6M Fwd Rtn12M Fwd Rtn12M Max DD
WU_11212025_Dip_Buyer_FCFYield11212025WUWestern UnionDip BuyDB | FCFY OPMDip Buy with High FCF Yield and High Margin
Buying dips for companies with high FCF yield and meaningfully high operating margin
12.4%12.4%-0.4%
COIN_11212025_Monopoly_xInd_xCD_Getting_Cheaper11212025COINCoinbase GlobalMonopolyMY | Getting CheaperMonopoly-Like with P/S Decline
Large cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple
0.8%0.8%-0.5%
PYPL_11142025_Dip_Buyer_FCFYield11142025PYPLPayPalDip BuyDB | FCFY OPMDip Buy with High FCF Yield and High Margin
Buying dips for companies with high FCF yield and meaningfully high operating margin
-5.4%-5.4%-7.5%
V_11142025_Monopoly_xInd_xCD_Getting_Cheaper11142025VVisaMonopolyMY | Getting CheaperMonopoly-Like with P/S Decline
Large cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple
7.1%7.1%-2.7%
WD_11072025_Dip_Buyer_ValueBuy11072025WDWalker & DunlopDip BuyDB | P/E OPMDip Buy with Low PE and High Margin
Buying dips for companies with tame PE and meaningfully high operating margin
-11.5%-11.5%-12.1%
FDS_9262025_Dip_Buyer_ValueBuy09262025FDSFactSet Research SystemsDip BuyDB | P/E OPMDip Buy with Low PE and High Margin
Buying dips for companies with tame PE and meaningfully high operating margin
0.8%0.8%-12.5%

Recent Active Movers

More From Trefis

Peer Comparisons for FactSet Research Systems

Peers to compare with:

Financials

FDSSPGIMCOMSCIMORNTRIMedian
NameFactSet .S&P Glob.Moodys MSCI Mornings.Thomson . 
Mkt Price290.88525.14515.39581.30217.35133.05403.13
Mkt Cap11.0159.892.244.49.259.852.1
Rev LTM2,32215,0127,5013,0552,3957,3765,216
Op Inc LTM7486,0313,2861,6554712,1281,892
FCF LTM6175,4612,3981,3883941,8221,605
FCF 3Y Avg6054,6572,1661,2733321,8691,571
CFO LTM7265,6432,7171,5185392,4591,988
CFO 3Y Avg6914,8052,4701,3804662,4561,918

Growth & Margins

FDSSPGIMCOMSCIMORNTRIMedian
NameFactSet .S&P Glob.Moodys MSCI Mornings.Thomson . 
Rev Chg LTM5.4%9.0%8.8%9.0%7.8%3.0%8.3%
Rev Chg 3Y Avg8.0%13.3%9.8%11.2%8.9%3.9%9.3%
Rev Chg Q6.2%8.8%10.7%9.5%8.4%3.4%8.6%
QoQ Delta Rev Chg LTM1.5%2.1%2.7%2.3%2.0%0.8%2.1%
Op Mgn LTM32.2%40.2%43.8%54.2%19.7%28.9%36.2%
Op Mgn 3Y Avg31.4%36.3%40.7%54.1%15.6%26.9%33.8%
QoQ Delta Op Mgn LTM1.7%1.0%1.3%0.3%0.1%2.3%1.1%
CFO/Rev LTM31.3%37.6%36.2%49.7%22.5%33.3%34.8%
CFO/Rev 3Y Avg31.3%34.8%36.8%50.0%20.9%34.6%34.7%
FCF/Rev LTM26.6%36.4%32.0%45.4%16.5%24.7%29.3%
FCF/Rev 3Y Avg27.5%33.7%32.2%46.1%14.8%26.4%29.9%

Valuation

FDSSPGIMCOMSCIMORNTRIMedian
NameFactSet .S&P Glob.Moodys MSCI Mornings.Thomson . 
Mkt Cap11.0159.892.244.49.259.852.1
P/S4.710.612.314.53.88.19.4
P/EBIT14.126.028.126.816.625.225.6
P/E18.437.941.136.324.334.135.2
P/CFO15.128.333.929.317.024.326.3
Total Yield6.9%3.4%3.2%4.0%4.9%4.6%4.3%
Dividend Yield1.5%0.7%0.7%1.2%0.8%1.7%1.0%
FCF Yield 3Y Avg4.2%3.3%2.9%2.9%2.9%2.8%2.9%
D/E0.10.10.10.10.10.00.1
Net D/E0.10.10.10.10.10.00.1

Returns

FDSSPGIMCOMSCIMORNTRIMedian
NameFactSet .S&P Glob.Moodys MSCI Mornings.Thomson . 
1M Rtn5.4%6.4%7.5%3.4%2.1%-1.4%4.4%
3M Rtn1.3%5.9%8.3%2.5%-7.7%-16.9%1.9%
6M Rtn-33.1%0.8%5.8%1.6%-29.6%-32.0%-14.4%
12M Rtn-39.9%6.2%9.6%-2.8%-35.5%-17.3%-10.0%
3Y Rtn-24.7%61.7%89.5%29.8%3.8%22.5%26.1%
1M Excs Rtn0.8%1.7%2.8%-1.2%-2.5%-6.1%-0.2%
3M Excs Rtn-2.0%3.1%4.7%-1.1%-12.2%-19.4%-1.6%
6M Excs Rtn-46.8%-12.3%-6.0%-10.8%-43.1%-44.9%-27.7%
12M Excs Rtn-57.7%-9.0%-5.4%-19.8%-53.0%-34.8%-27.3%
3Y Excs Rtn-109.4%-20.9%8.2%-51.7%-76.1%-57.2%-54.5%

Financials

Segment Financials

Revenue by Segment
$ Mil2025202420232022
Single Segment2,0861,8441,5911,494
Total2,0861,8441,5911,494


Price Behavior

Price Behavior
Market Price$290.88 
Market Cap ($ Bil)11.0 
First Trading Date06/28/1996 
Distance from 52W High-40.1% 
   50 Days200 Days
DMA Price$278.76$371.04
DMA Trenddowndown
Distance from DMA4.3%-21.6%
 3M1YR
Volatility33.2%28.6%
Downside Capture10.7971.28
Upside Capture14.7910.44
Correlation (SPY)4.6%36.4%
FDS Betas & Captures as of 11/30/2025

 1M2M3M6M1Y3Y
Beta-0.130.110.100.330.560.67
Up Beta-0.281.411.811.410.720.81
Down Beta-2.29-0.39-0.64-0.250.540.64
Up Capture44%-17%-76%-41%3%15%
Bmk +ve Days12253873141426
Stock +ve Days9212956111390
Down Capture9%6%68%103%79%91%
Bmk -ve Days7162452107323
Stock -ve Days10203369137360

[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
 Comparison of FDS With Other Asset Classes (Last 1Y)
 FDSSector ETFEquityGoldCommoditiesReal EstateBitcoin
Annualized Return-37.8%18.1%18.8%72.9%9.0%3.7%-11.4%
Annualized Volatility28.7%19.0%19.5%19.2%15.3%17.2%35.0%
Sharpe Ratio-1.650.740.762.720.360.05-0.14
Correlation With Other Assets 47.7%36.0%0.5%9.4%45.0%13.3%

ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
 Comparison of FDS With Other Asset Classes (Last 5Y)
 FDSSector ETFEquityGoldCommoditiesReal EstateBitcoin
Annualized Return-2.6%16.2%14.8%18.9%11.8%4.7%35.5%
Annualized Volatility24.5%18.9%17.1%15.5%18.7%18.9%48.9%
Sharpe Ratio-0.120.710.700.980.510.160.62
Correlation With Other Assets 44.4%49.5%5.1%7.0%47.9%17.3%

ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
 Comparison of FDS With Other Asset Classes (Last 10Y)
 FDSSector ETFEquityGoldCommoditiesReal EstateBitcoin
Annualized Return7.1%13.1%14.8%15.1%6.8%5.4%69.1%
Annualized Volatility26.0%22.3%18.0%14.8%17.6%20.8%55.8%
Sharpe Ratio0.290.550.710.850.310.230.90
Correlation With Other Assets 55.4%61.0%3.1%17.6%52.3%15.8%

ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How

Short Interest

Short Interest: As Of Date11282025
Short Interest: Shares Quantity2,743,525
Short Interest: % Change Since 111520253.6%
Average Daily Volume1,051,276
Days-to-Cover Short Interest2.61
Basic Shares Quantity37,768,000
Short % of Basic Shares7.3%

Earnings Returns History

Expand for More
 Forward Returns
Earnings Date1D Returns5D Returns21D Returns
12/18/2025-7.7%  
9/18/2025-4.0%-5.8%-4.8%
6/23/20253.5%4.5%-1.4%
3/20/20250.4%4.2%-4.2%
12/19/20243.5%3.9%-1.8%
9/19/20245.1%2.5%5.7%
6/21/20243.8%1.6%5.1%
3/21/2024-7.6%-8.3%-11.0%
...
SUMMARY STATS   
# Positive121514
# Negative12910
Median Positive3.6%3.6%3.5%
Median Negative-4.3%-5.8%-4.8%
Max Positive15.1%12.3%17.9%
Max Negative-8.3%-8.7%-11.0%

SEC Filings

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Report DateFiling DateFiling
83120251022202510-K 8/31/2025
5312025703202510-Q 5/31/2025
2282025404202510-Q 2/28/2025
11302024108202510-Q 11/30/2024
83120241029202410-K 8/31/2024
5312024703202410-Q 5/31/2024
2292024403202410-Q 2/29/2024
11302023105202410-Q 11/30/2023
83120231027202310-K 8/31/2023
5312023703202310-Q 5/31/2023
2282023403202310-Q 2/28/2023
11302022105202310-Q 11/30/2022
83120221021202210-K 8/31/2022
5312022701202210-Q 5/31/2022
2282022404202210-Q 2/28/2022
11302021103202210-Q 11/30/2021