H-P directors and bankers calculated how much revenue Autonomy would have to add over 10 years to justify such a price. Autonomy’s trajectory alone wouldn’t get there. The deal required assuming more revenue growth as a result of the tie-up than H-P usually assumed in acquisitions, said people familiar with the matter. But the directors believed they could make the numbers.
Those calculations were done without knowledge of the alleged fraud but who cares? Here is, roughly, H-P’s thought process:
Autonomy’s DCF value is Y1 based on expected revenue growth but no synergies
Y1 < X
Well but the DCF value is Y2 with regular-to-aggressive synergies
Y2 < X
Well but … well we could make up another number Y3
Y3 >= X
If you notice that current revenue numbers are made up, then that changes Y1, but Y1 isn’t an input into Y3 – the actual value that H-P put on Autonomy – because that number was also just made up. Read more »
Meanwhile, the most controversial banker involved in the HP-Autonomy deal, Frank Quattrone of Qatalyst, represented Autonomy and played a key role in getting HP to pay a high price. … Analysts almost uniformly deemed the $11.1 billion he got HP to pay for Autonomy as overly rich – a compliment to him at the time, but possibly a hollow success if HP’s allegations prove true.
True or false, re: “hollow success”? The article is about how the eight zillion bankers and lawyers and auditors and, I dunno, PR firms swarming around the HP-Autonomy deal failed to notice that Autonomy was a giant fraud due to (1) it not being a giant fraud, (2) it not being their job to notice that it was a giant fraud, and/or (3) their not being good at their jobs.1 Was it Quattrone’s job?2 The capital-markets gatekeeping function, whether in sell-side M&A or in IPOs, exists in irresolvable tension between “getting the best possible price for your client” and “maintaining some credibility with the buy side.” If I were selling my company – fraud or otherwise! – I’d be pretty psyched to hire someone talented enough to get $11 billion for a giant fraud; on the other hand, once you get a reputation for getting top dollar for giant frauds, it becomes hard for you to get any dollar for anything.3
A while back we talked about a sort of amusing article saying that M&A lawyers provide no value because (1) their job is to negotiate the conditions in which a merger will and will not close, (2) mergers always close, so (3) their job is purely decorative. You could take issue with that for a number of reasons; at the time I suggested that one of those reasons would be “well they also add value by doing due diligence” and, heh, so much for that. Read more »
I don’t know much about this Autonomy thing – in brief, Hewlett-Packard acquired British software company Autonomy last year for $10.3 billion and today wrote that investment down by $8.8 billion, blaming $5 billion of that on “accounting improprieties, misrepresentations and disclosure failures” at Autonomy – but this sure sounds fake doesn’t it?
Today, Autonomy is firmly established as the leading provider of Pan-Enterprise Search and Meaning Based Computing (MBC) solutions. Autonomy’s unique Intelligent Data Operating Layer (IDOL) platform enables organisations to harness the full richness of human information by extracting meaning from the mass of unstructured information they handle every day, which analysts estimate to constitute over 80% of all enterprise data.
That’s from Autonomy’s last annual report as an autonomous company1 before HP bought it. Retrospective red flag perhaps? I would be wary of companies whose business involves “extracting meaning.” Meaning doesn’t come from software.2
Now of course HP is going to sue everyone and demand fraud investigations on two continents. Many people look bad here – HP first of all, whether or not its claims are true, then (if they’re true) Autonomy, Deloitte (Autonomy’s auditors), E&Y (HP’s auditors), HP’s bevy of bankers and others involved in due diligence who seem to have been unduly undiligent, and to some extent Autonomy’s bankers who marketed it to HP.3 I have plenty of sympathies with both sets of bankers, of course; their job is mainly to harness the full richness of human information by extracting meaning from the mass of stuff that companies make public, not to know whether that stuff is true.4 Bankers are an intelligent data operating layer; if you give them bad data then their operating layer is less intelligent. It’s possible that some of those words mean things. Read more »