IPv4 Market Transfer Prices

Thanks to the kind folks at IPv4Auctions.com, some data now exists on pricing in the IPv4 transfer market. Their data is only theirs, of course; other brokers may see other prices. Also, the online auction is a different way to facilitate transfers than via a human broker transaction, the data set is still small, we don't know about larger blocks, and there may be many transfers that have not yet been made public. But now that some data exists, let's take a look:

Amy Potter of Hilco Streambank generously provided me with this data and permission to publish it:

Block SizeRIRSale PricePrice Per AddressAuction Close Date
/20 ARIN$32,768.00$8.0010/23/14
Two consecutive /24ARIN$3,584.00$7.007/23/14
Two consecutive /24ARIN$4,096.00$8.008/7/14
Two consecutive /24ARIN$5,635.00$11.009/4/14

Transactions with an asterisk were "Buy Now," meaning there was no bidding; the seller established the sale price and the buyer accepted it.

Using that data, we can chart prices over time:

In this chart, I've plotted the "Two consecutive /24" transactions as /24s, since they are not aggregable into a /23. These are consistent with other transactions.

From the above, one might reasonably conclude that the first buyers had no information on market prices (since they were first), and prices have become more regular. It isn't at all clear why one address block goes for a higher price than another of the same size. The buyers, according to Ms. Potter, are generally well-informed, and it is difficult to explain the variation in pricing in September-October.

Larger blocks of addresses are slightly cheaper, on a per-address basis (in addition to incurring lower transaction costs, per address).

Even removing the outliers, prices have been rising slightly over the course of the year.

To try to find prices for other block sizes, I pulled data from IPv4 Market Group and scatter plotted with data from the folks above, too:

We might see a curve showing price per address correlates on a curve to the prefix size.

As always, I'm very interested in others' interpretations of this data. Follow and Tweet me!

Lee Howard
13 Nov 2014