Data source: kamarvo.com, a used camera price tracker I built. It follows listings and sales at 10 camera shops in 6 countries. Used prices are from recent sales where there are enough of them (filled dots) and otherwise from asking prices (hollow dots); every model has at least 5. Launch prices are US list prices at launch from Sharply, converted to euros at the ECB rate with 21% VAT added. The dashed line is an exponential fit to all 63 bodies.

Tools: Python and matplotlib.



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Filitium

6 comments

  1. Would be interesting to see older film cameras in there as well

  2. So is the 20 yr old Leica just asking a ridiculous price they won’t get?  But you have at least 5 ask for that model around that price.

    No Richo/Pentax love?

  3. I recently bought very a good condition Nikon D3S for less than 10% of its original price. Can’t complain about DSLRs losing their value.

  5. nice that you marked sold vs asking in the dots. does the exponential fit treat both the same though? asking prices for older bodies (where sales are rare) are usually the optimistic stale listings, and i’ve seen that quietly flatten the tail of exactly this kind of depreciation chart.

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