Systematic investment
Momentum strategy
Buy the dip strategy
| Revenue per share | 50.66 |
| Dividend & Yield | 3.56$ (0.86%) |
| Beta | 0.82 |
| Market capitalization | 16.11B |
| Operating cash flow | 572M |
| ESG Scores | 20.4 |
Sector: Financial Services - Industry: Financial Data & Stock Exchanges
| Quick Ratio | 2.96 |
| Working Capital | 0.65 |
| Return On Equity | 0.39 |
| Debt To Equity | 0.57 |
| Fixed Asset Ratio | 0.07 |
| Fixed Interest Cover | 58.52 |
| Cashflow Statement | 2022-08-31 |
|---|---|
| Change To Liabilities | 6.71M |
| Total Cashflows From Investing Activities | -2.03B |
| Net Borrowings | 1.41B |
| Total Cash From Financing Activities | 1.34B |
| Change To Operating Activities | -54.38M |
| Issuance Of Stock | 86.05M |
| Net Income | 396.92M |
| Change In Cash | -178.59M |
| Effect Of Exchange Rate | -22.43M |
| Total Cash From Operating Activities | 538.28M |
| Depreciation | 129.72M |
| Change To Account Receivables | -32.98M |
| Other Cashflows From Financing Activities | -15.6M |
| Change To Netincome | 111.56M |
| Capital Expenditures | -51.16M |
| Income Statement | 2022-08-31 |
|---|---|
| Research Development | |
| Income Before Tax | 443.59M |
| Net Income | 396.92M |
| Selling General Administrative | 433.03M |
| Gross Profit | 972.79M |
| Ebit | 539.75M |
| Operating Income | 539.75M |
| Interest Expense | -35.2M |
| Income Tax Expense | 46.68M |
| Total Revenue | 1.84B |
| Cost Of Revenue | 871.11M |
| Total Other Income ExpenseNet | -96.16M |
| Net Income From Continuing Ops | 396.92M |
| Net Income Applicable To Common Shares | 396.92M |
| Balance Sheet Statement | 2022-08-31 |
|---|---|
| Total Liabilities | 2.68B |
| Total Stockholder Equity | 1.33B |
| Other Current Liabilities | 194.21M |
| Total Assets | 4.01B |
| Common Stock | 417k |
| Other Current Assets | |
| Retained Earnings | 1.18B |
| Treasury Stock | -1.04B |
| Cash | 503.27M |
| Total Current Liabilities | 438.29M |
| Other Stockholder Equity | -108.38M |
| Property, Plant, and Equipment | 240.3M |
| Total Current Assets | 870.35M |
| Net Tangible Assets | -1.53B |
| Net Receivables | 204.1M |
| Accounts Payable | 100.09M |
Here are the insider transactions of stock shares related to Factset Research Systems Inc:
| Filer Name | Transaction Text | Date |
|---|---|---|
| SNOW FREDERICK PHILIP | Sale at price 412.68 - 413.38 per share. | 2023-03-01 |
| SNOW FREDERICK PHILIP | Conversion of Exercise of derivative security at price 164.90 per share. | 2023-03-01 |
| SNOW FREDERICK PHILIP | Sale at price 418.93 - 424.00 per share. | 2023-02-01 |
| SNOW FREDERICK PHILIP | Conversion of Exercise of derivative security at price 164.90 per share. | 2023-02-01 |
| MCGONIGLE JAMES J. III | Stock Award(Grant) at price 0.00 per share. | 2023-01-17 |
| FRANK MALCOLM | Stock Award(Grant) at price 0.00 per share. | 2023-01-17 |
| ABRAMS ROBIN ANN | Stock Award(Grant) at price 0.00 per share. | 2023-01-17 |
| SIEGEL LAURIE A | Stock Award(Grant) at price 0.00 per share. | 2023-01-17 |
| SHAVEL LEE M | Stock Award(Grant) at price 0.00 per share. | 2023-01-17 |
| CHOY SIEW KAI | Stock Award(Grant) at price 0.00 per share. | 2023-01-17 |
| TEJADA MARIA TERESA | Stock Award(Grant) at price 0.00 per share. | 2023-01-17 |
Insider transaction explanations
Insider buying is the legal purchase of shares by a senior executive or director of a company. "Filer Name" corresponds to the name of the stock buyer or seller. "Transaction Text" describes the transaction. "Ownership" gives information about the transaction type. "Date" is the reported transaction date. "Filer Relation" gives the role of the insider in the company. "Shares" is the value of the transaction. You will find the complete description of the General Transaction Codes on the SEC dedicated page
These are the result of three automatic investment systems applied to Factset Research Systems Inc. You will find the performance of an systematic investment system, a momentum strategy, and a buy the dip trading strategy.
Here is the result of two systematic investment strategies applied to Factset Research Systems Inc. The first strategy automatically buys the first day of the month, and the second strategy buys the fifteenth day of the month.
The following chart shows the equity curve of the two systematic investment strategies applied to Factset Research Systems Inc:
The systematic investment strategy that buys the first day of the month would give a performance of 33.24% on the backtest period.
Performance
Latent gain
Invested capital
Annualized return
This is the result of two momentum investment strategies applied to Factset Research Systems Inc. The first strategy uses a momentum signal calculated on one quarter, and the second uses a momentum signal calculated on two quarters.
The following chart shows all the entries opened by the momentum investment system on Factset Research Systems Inc:
Performance
Latent gain
Invested capital
Annualized return
Performance
Latent gain
Invested capital
Annualized return
The following chart shows the equity curve of the two momentum strategies applied to Factset Research Systems Inc:
Note: the dividends potentially given by Factset Research Systems Inc are not integrated into the calculation of the equity curve neither the performance of the strategy. The integration of the dividends will be available soon.
The following chart shows the employed capital evolution of the two momentum strategies on Factset Research Systems Inc since the beginning:
Note: the algorithm buys for a maximum of 250$ per entry. If the stock price is greater than 250$, the system buys only one stock per entry. The investment system stops automatically when the financial exposure reaches 10000$.
The performance achieved by the robo-advisor on Factset Research Systems Inc is 54.31%. That represents 262.4$ of latent gain with 483.16$ of employed capital. The following chart shows Factset Research Systems Inc stock price with all the entries opened by the automated investment system.
Note: The blue line represents the weekly stock price of Factset Research Systems Inc, and the green triangles represent the entry openings. The artificall robo-advisor needs at least 100 weeks of trading history to work.
Performance
Latent gain
Invested capital
Annualized return
The following chart shows the result of the investment strategy applied to Factset Research Systems Inc:
Note: the dividends potentially given by Factset Research Systems Inc are not integrated into the calculation of the equity curve neither the performance of the strategy. The integration of the dividends will be available soon.
The following chart shows the employed capital evolution since the beginning of the investment strategy on Factset Research Systems Inc:
Note: the algorithm buys for a maximum of 250$ per entry. If the stock price is greater than 250$, the system buys only one stock per entry. The investment system stops automatically when the financial exposure reaches 10000$.
In this section, I will compare the three previous investment strategies applied to Factset Research Systems Inc.
The following chart shows the equity curve of the artificall advisor, the trend folowing and the automatic investment strategies:
| Strategy | Latent Profit | CAGR |
|---|---|---|
| Automatic investment | 33.24% | 8.03% |
| Momentum 1 quarter | 48.55% | 12.45% |
| Momentum 2 quarters | 45.2% | 12.35% |
| Non-directional | 54.31% | 25.38% |
Automatic investment
Momentum 1Q
Momentum 2Q
Non-directional
Here are the most positively and negatively correlated stocks with Factset Research Systems Inc:
Note: The algorithm computes the probability of correlation between Factset Research Systems Inc and the other stocks. There may be false positives or some missing correlated stocks. If the price of Factset Research Systems Inc does not vary for 36 weeks, the correlation calculation result will be wrong.
| Company name | Factset Research Systems Inc |
| Country | United States |
| City | Norwalk |
| Address | 45 Glover Avenue |
| Phone | 203 810 1000 |
| Website | www.factset.com |
| FullTime employees | 11627 |
| Industry | Financial Data & Stock Exchanges |
| Sector | Financial Services |
| Exchange | XNYS |
| Ticker | FDS |
| Market | www.nyse.com |
| Environment ESG Factors | Scores |
|---|---|
| Environment Score | 2.9 |
| Peer Environment Performance | 1.9593243243243 |
| Environment Percentile | unknown |
| Palm Oil | no |
| Nuclear | no |
| Fur Leather | no |
| GMO | no |
| Coal | no |
| Pesticides | no |
| Animal Testing | no |
| Social ESG Factors | Scores |
|---|---|
| Social Score | 10.9 |
| Peer Social Performance | 9.7152702702703 |
| Social Percentile | unknown |
| Highest Controversy | 1 |
| Peer Highest Controversy Performance | 1.1842105263158 |
| Adult | no |
| Gambling | no |
| Alcoholic | no |
| Tobacco | no |
| Catholic | no |
| Controversial Weapons | no |
| Small Arms | no |
| Military Contract | no |
| Peer Count | yes |
Related Controversy: Customer Incidents
| Governance ESG Factors | Scores |
|---|---|
| Governance Score | 6.6 |
| Peer Governance Performance | 6.7732432432432 |
| Governance Percentile | unknown |
| Total ESG Scores: 20.4 |
| Environment Score: 2.9 |
| Social Score: 10.9 |
| Governance Score: 6.6 |
ESG Performance: AVG_PERF
Peer Group: Software & Services
Peer Esg Score Performance: 18.430263157895
Rating Year: 2023
Rating Month: 1
Max Age: 86400
Percentile: 27