What it means
The core of the platform is a standardised financial database. Every company's reported accounts are re-mapped into a common template, so a software firm and a steel mill can be compared line by line even though their own statements look nothing alike.
That mapping is the real product, not the screen it is displayed on. The second major component is transaction and ownership data.
Mergers, funding rounds, debt issues and shareholder registers are recorded with dates and values, which is what makes it possible to answer questions such as who bought whom and at what multiple. Corporate development teams spend most of their time in this part of the system.
Access is sold per named user on an annual contract, and most finance functions buy only a handful of seats. That scarcity shapes behaviour, because analysts end up queuing for the spreadsheet plug-in and someone becomes the unofficial gatekeeper.
Budget holders should price a seat against the hours of manual data gathering it removes. It is important to treat the platform's figures as a convenience rather than as gospel.
Standardising accounts involves judgement calls about what belongs in revenue or in operating costs, and those calls can differ from how the company itself presents its results. Anything going into a board paper or a valuation should be traced back to the original filing.
Competing products cover much of the same ground, so the choice usually comes down to coverage of the companies and markets you actually care about. A team focused on private mid-market deals values a very different data set from a team trading listed large companies.
A trial run on your own live pipeline is worth more than any feature comparison.
In practice
Real-world examples.
Example
A corporate development analyst at a packaging group needs five acquisition candidates in Spain and Portugal with revenue between $30,000,000 and $80,000,000. She screens by country, sector and revenue band in minutes, exports the list with ownership details, and hands the board a shortlist the same afternoon.
Example
A treasury team preparing to issue a bond wants to know what similar companies have paid recently. It pulls every debt issue in its sector over the past two years with coupon, maturity and credit rating, then uses that evidence to challenge the pricing its bank has proposed.
Example
A CFO writing a board paper on margins compares her gross margin with eight listed peers using the platform's standardised figures. Before publishing she checks three of the eight against their own annual reports, finds one peer classifies freight costs differently, and adds a footnote so the comparison is not misleading.
Formula
Calculation
Annual value released = analysts x hours saved each week x working weeks x fully loaded hourly cost
Net benefit = annual value released - annual licence cost
Suppose a finance team is quoted $25,000 a seat and wants four seats, so the licence cost is 4 x 25,000 = $100,000 a year. Each of the four analysts currently spends 10 hours a week keying data out of filings and works 46 weeks a year, giving 4 x 10 x 46 = 1,840 hours. At a fully loaded cost of $60 an hour those hours are worth 1,840 x 60 = $110,400, so the net benefit is 110,400 - 100,000 = $10,400. That margin is thin enough that the decision should rest on speed and accuracy of the output rather than on the cash saving alone.Case study
Seen in the real world.
Calderwood Instruments is a fictional, illustrative maker of laboratory equipment whose two-person corporate development team was spending most of each week rebuilding peer data by hand. The finance director priced two platform seats at $25,000 each and had to justify $50,000 a year to a sceptical audit committee.
She built the case on released hours rather than on data quality, showing 2 analysts x 12 hours a week x 46 weeks = 1,104 hours at $60 fully loaded, worth $66,240 against a $50,000 cost. The committee approved the spend but asked for a review after a year.
At review, the measurable saving was smaller than modelled because the team had used the freed time to look at more targets rather than to work fewer hours. The illustrative point is that tools of this kind usually increase output instead of cutting cost, and the business case is more honest if it says so from the start.
Watch out
Common mistakes.
- Quoting the platform's standardised figures in a valuation without tracing them back to the company's own filing, so a classification difference becomes a hidden error.
- Buying more seats than the team needs because the licence is sold per named user, when two shared seats and a disciplined request process often cover the same workload.
- Assuming coverage is complete for private companies, when small and privately held businesses are frequently missing, stale or reported only in summary.
Questions
People also ask.
Is Capital IQ an accounting system?
No, it is a research and analysis database, so it never touches your ledgers and nothing in it forms part of your statutory reporting.
Can the data be used in published work?
Licences generally restrict redistribution of raw data, so check your contract before putting bulk extracts into a document that circulates outside the organisation.
Why do two platforms show different revenue for the same company?
Because each provider standardises the accounts using its own rules about what belongs in revenue, and neither is wrong, they are simply answering slightly different questions.
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