Help valuing a high mileage GT4
Long time lurker, first time poster, just want to say first off that I've learned so much (and gotten an equal amount of anxiety!) from many of the threads and posts on this particular forum.
So the reason for this first post—as alluded to in the title—is that I've got a line on a high mileage GT4 (61,000 mi…yes, that's miles, not kilometers). It was part of an exotic car rental fleet, however it was well maintained by a garage of 3 full-time mechanics, has a good service history, clean title, and never tracked. The only things that are really wrong are the parking brake warning shows up every now and then, one of the windshield nozzles is FUBAR, and the driver's side window switch module needs replacing. PPI is pending, and while I'm sure the DME will show some interesting stats, I'm 98% confident this car is a solid runner. It's definitely seen more roads than most of the GT4s out there, but you'd never know from driving it (which I have recently).
And therein lies the problem I'm facing: "most of the GT4s out there" are under 15,000 mi, mint condition, stored in a nice garage, and rubbed gently with a diaper from time to time. As such, I don't really think the major valuation sites (KBB, Edmunds, etc.) are actually able to price this market correctly, so I went ahead and did it myself. I've scraped pricing and mileage data from about 190 online listings (the usual suspects: Mecum, eBay, Carfax, Porsche CPO, Bring a Trailer, and Rennlist sales from 2018 and 2019 [thank you for keeping all that pricing data intact!]), and put together a dataset that could be used to generate a couple different trendlines. It's this data that I'd like to use in my negotiations with the seller, however I wanted to get a reality check from the good folks of this forum to see if y'all think I'm on the right track, or completely bat****.
See here for a PDF of the graph output.
Using this dataset, I generated an exponential trendline with a 95% confidence interval (and the associated upper- and lower-bounds). Also, by sampling prices at 2500 mile intervals along the main trendline and calculating the mean average of those prices, I came up with a dollar per mile decrease in price of $808.50 per mile driven.
Some things I've kept in mind when compiling and looking at this data:
- This is a mix of asking prices and sale prices. And while I’ve combined these in the data, on average the asking and sale prices of cars with similar mileage are within about 2-3% of each other, so I consider the difference a wash.
- This doesn't control for trim and options. So some of these have carbon ceramics, sports chrono, and carbon buckets, while others have 18-way power seats, steel rotors, and no options on the interior trim. On the whole I think the two extreme ends balance each other out.
- The vast majority of these are less than 15,000 mi, so very much skewing towards garage queens / weekend cars (with a sprinkling of track cars in there, I’m sure, but I don't feel like it'd be enough to outweigh the mint condition GT4s).
- The 2018 Rennlist values are a bit higher than 2019, but not by much: a mean average of $104,187 for 2018, and $96,615 for 2019. I was worried that the some prices that people were seeking in 2018 might skew the data, but it's only a 7% difference so I'm comfortable including that into the data. It seems like the 718 GT4 announcement didn't take a huge dent out of the 981 GT4 market like some were thinking it would.
I should mention in the name of completeness that KBB pegged this at $64,838, and Edmunds had it as $56,762 (I hadn't looked at those numbers in a while…maybe Edmunds does know how to price this market…)
Thoughts, concerns, rebuttals—I welcome one and all, and look forward to the wisdom of the crowd.
Last edited by burnergt4; Dec 26, 2019 at 05:53 PM. Reason: updated graph
I think the above quote is probably your biggest source of error in the data. The MSRP on these cars could have varied widely from $87k to $130k. That definitely sways the second hand selling price. I wonder if you could look at the data as "Price under MSRP vs miles"? That may yield better results.
Thats just my $0.02
Austin Porsche has a nice one they've had for a while. $75k but it's over-priced a bit. 8k miles and CPO.
Just a thought...
For the OP, FWIW, I just purchased my 31k mile CPO example this summer, w/$108k window sticker, from a Porsche dealer who asked $86k. I thought about trading for an Audi, and the Audi dealer happened to work with the Porsche dealer where I bought it. After 4 months and 3k miles added, the dealer only offered $67.5k. I just did a trade value on kbb.com and it came up with a trade value that split the difference. At the time, mine was the highest mile by 2x of all the GT4s found on Porsche's site....seemed like depreciation was closer to $1k per 1k miles driven, off original MSRP, for all the cars.
Last edited by colnagoG60; Jan 18, 2020 at 01:25 PM.
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Sorry for the off-topic escapade but GT4 ownership does come with issues.
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One thing that jumps out at me is that you are assuming a purely linear depreciate curve which we know it is not. It looks like your tool would predict a value of zero dollars at roughly 120k miles. There is no way that would happen. There must be some bottom to the depreciation assuming the car is properly maintained. So what would a 300k mile GT4 be worth in perfect running condition? It would not be zero. Total guess but maybe $30k? It may have some wear and tear but it would still make a great track car. If it was in perfect running condition there would have been a lot of money spent on it. Maybe a fully rebuilt engine and tranny? So if you set something like $30k as your min price asymptote maybe you could manually sketch a curve. Of course that would not favor your negotiation but it is likely more realistic.
I like data driven approaches to cars too!
Last edited by burnergt4; Dec 18, 2019 at 08:42 PM.
I will probably not see much track time, if any, so I basically have "Downtown Philly", and "Spirited smooth country road drive on the other side of my town, but can still smooth out a nasty bump at speed" modes to toggle between. If/when I do get it on track, I can always load a track focused file when I arrive, then flash back for the ride home.




