Is it the median cost for
a trial or for all trials that a company does? A company might have many trials going on at once, of greater or lesser costs, but revenue is an aggregation of everything over a year. A company with $100 million in revenue and 10 trials ongoing and a company with a $1 billion in revenue and 10 trials ongoing would possibly lead one to specific conclusions, but even when it's broken down that much it doesn't really mean anything for the examples presented, because the mean cost of the trials that the company in question has ongoing could be entirely different. The 10 trials the $100 million revenue company is administering could average $1 million, and the 10 trials the $1 billion company is administering could cost 80 million each, by nature of the types of drugs they and markets they are aiming for.
It could also be that there's lots of low cost trials around $20 million, but slightly less than half of the trials that are done are very expensive, and 4-5 times the cost. This would be more obvious if there were values for bot mean and median, instead of just median.
The looser the data, the less you can actually infer. Any time someone tells me the median cost for something across an entire industry, my immediate reaction is to wonder what that means, not assume I actually know what it means, because it's far too little data to really know. How many trials are done in a year on average? How many a year do companies average based on revenue? Or simple, what's the actual amount spent on trials compared to revenue, and over how many years are those trials run? Is yearly cost of a trial really a good indicator, if trials take 5-10 years to run, so a failed one results in not just loss of money spent but opportunity cost over many years?
Note: If you provided a reference for that median number I would have actually looked it up to see if it made sense to me, or if I had additional questions about how they went about their measurements. Instead, all I have a questions about what the numbers mean because I have no context.