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FactSet Research Systems Inc., trading as FactSet, is an American financial data and software company headquartered in Norwalk, Connecticut, United States. The company provides integrated data and software. [2] For fiscal year 2023, FactSet's total ASV and professional services revenues were $2.09 billion. [1]
FactSet Research Systems Inc (NYSE: FDS) reported fourth-quarter FY22 revenue growth of 21.2% year-on-year to $499.30 million, beating the consensus of $487.81 million. Organic Annual Subscription ...
FactSet (FDS) reported earnings 30 days ago. What's next for the stock? We take a look at earnings estimates for some clues.
Mac OS calculator: Proprietary: macOS: Double (64 bit) Yes Yes Yes GNOME Calculator: GPL-3.0-or-later: Linux, BSDs, macOS: Arbitrary decimal Yes Yes Yes KCalc: GPL-2.0-or-later: Linux, BSDs, macOS: Arbitrary decimal Yes Yes Yes Windows Calculator: MIT: Windows: ≥32 decimal Yes Yes Yes WRPN Calculator: Public domain: Windows, Linux, macOS ...
This list has all global annual earnings of all time, limited to earnings of more than $40 billion in "real" (i.e. CPI adjusted) value. Note that some record earning may be caused by nonrecurring revenue, like Vodafone in 2014 (disposal of its interest in Verizon Wireless) [1] or Fannie Mae in 2013 (benefit for federal income taxes).
On Thursday, FactSet Research Systems Inc (NYSE: FDS) reported first-quarter 2025 sales growth of 4.9% year-on-year to $568.7 million, beating the analyst consensus estimate of $565.13 million.
VisiCalc ("visible calculator") [1] is the first spreadsheet computer program for personal computers, [2] originally released for the Apple II by VisiCorp on October 17, 1979. [1] [3] It is considered the killer application for the Apple II, [4] turning the microcomputer from a hobby for computer enthusiasts into a serious business tool, and then prompting IBM to introduce the IBM PC two years ...
EMSR stands for Expected Marginal Seat Revenue and is a very popular heuristic in Revenue Management. There are two versions: EMSRa [1] and EMSRb, [2] both of which were introduced by Peter Belobaba. Both methods are for n-class, static, single-resource problems.