We analysed 15,221 secondhand appliance listings from seven marketplaces in three countries. The most-resold brand in Czechia is not Bosch or Samsung — it is Mora. Appliances lose half their value within three years, and expensive brands lose a larger share. And the one thing we wanted most from this data, it refused to give us.
The data
Between June and August 2026 we collected 25,404 listings of major household appliances (washing machines, dishwashers, fridges, ovens, dryers) from seven online marketplaces in Czechia, Germany and Poland, in two harvest waves. After cleaning, 15,221 relevant listings with a recognised brand remained.
Two methodological notes up front. First, collection respects each site's crawling rules (robots.txt) — some Czech sources from wave one are therefore absent from wave two, and results resting on them are flagged as non-refreshable. Second, the dataset contains no personal data about sellers.
Czechia's most-resold brand is Mora
Restricting to listings found by generic queries ("washing machine", not "Bosch washing machine") — the subsample our own search terms cannot distort — the Czech ranking is a surprise: Mora (14.4%), Beko (11.8%), Gorenje (11.1%). A domestic brand that never tops new-sales charts leads secondhand supply, and it does so consistently on both Czech marketplaces we observed.
Germany looks entirely different: Bosch (19.9%), Siemens (17.9%) and Miele (15.8%) together make up over half of supply. Brand geography is sharp: Mora, Philco and ETA barely exist outside Czechia, while Bauknecht and Privileg — both Whirlpool-owned marques — are over 90% German phenomena. Together those two "German" Whirlpool brands account for 1,656 listings in our dataset, more than the parent Whirlpool brand itself (686).
An important caveat: secondhand supply is not the same as sales. It reflects a mix of what sold, what survived, and what people consider worth reselling.
There is no "most-resold model"
We also asked which specific products dominate resale. The answer: none. The most frequent model in the German sample appears 9 times in 11,018 listings (0.08%), and 82–90% of models appear exactly once. The secondhand appliance market is atomised down to individual units — no best-seller list can be built from it. This is precisely why all our indicators aggregate at brand level, never model level.
How fast appliances lose value
294 sellers stated the original purchase price in their listing. The ratio of asking to original price yields a retained-value curve:
| Age | Median retained value |
|---|---|
| 0–3 years | 51% |
| 3–5 years | 39% |
| 5–8 years | 30% |
| 8+ years | 18% |
Across the sample, an appliance originally bought for ~€560 is offered at ~€250 — 45% of its original price. And one counter-intuitive result: the more expensive the appliance, the larger the share of value it loses (elasticity −0.24). Premium brands hold value in euros, not in percent. That is also why the median asking price for a used Miele (≈€200) looks anything but premium — the Mieles that reach the secondhand market are simply old. Which is, incidentally, exactly what you would expect from a durable brand.
Admitting a fault? A marketplace norm, not a national one
98.8% of all listings labelled "broken" come from a single marketplace (Germany's Kleinanzeigen, where 14.4% of status-known sellers declare a fault). On Czech Aukro it is 0.5% — at comparable amounts of listing text. Willingness to disclose a fault is a norm of the platform and its seller population (private owners vs. traders), not a property of the country or the brand.
One illustration of why this data must not be read naively: our first automated pass over Aukro showed 28.9% "broken" appliances. Manual inspection revealed that 97% of those were one open-box reseller's boilerplate — "new, slightly damaged, fully functional". The true rate: 0.6%.
What the data refused to give us: a durability measure
The original motivation for this whole collection was a seductive hypothesis: a brand whose appliances are resold old (and still working) is a durable brand. We tested three variants — declared-fault rates, the age distribution of supply, and retained value — and all three failed, each in the same way: a promising correlation from the first sample vanished or flipped sign the moment independent data arrived (a new harvest wave; independent model dating via the EU's EPREL registry). The age signal collapsed from ρ = +0.42 to −0.18; the price signal from +0.54 to −0.19.
We count that as a result, not a failure. Marketplace data is shaped by selection (what people resell), platform norms (what they admit), and small samples (what they state) — and none of those filters has anything to do with how long an appliance lasts. That is why our Durability Score is built on laboratory endurance tests, failure surveys and warranty claims, and why we use marketplace data descriptively only — as in this article.
Methods in brief: 15,221 listings (June–August 2026, CZ/DE/PL, 7 platforms), de-duplicated by listing ID; market composition measured on the generic-query subsample (1,042 listings); retained value from 294 listings stating an original price, currencies converted at fixed rates. Model dating: the European Commission's EPREL registry (research use under the API terms). A full manuscript is in preparation; until peer review, treat these figures as preliminary.
Further reading
A tenth of France's reliability score measures nothing
We rebuilt the French durability index from the complete register — 2,764 models instead of the 274 we had in July — and separated every sub-criterion. The warranty and quality-process criterion carries a nominal 10% of the reliability score and explains −0.1% of its variance. Delete it entirely and the ranking barely moves.
Do Testing Agencies Agree on What Quality Is? A Digest of Our Research
We compared 16,978 test results from four European consumer testing organisations. Four of our studies: how strongly agencies agree (ρ = 0.84–0.92), whether higher prices mean higher quality, why the market rewards brands more than tested performance — and when the crowd agrees with the experts. With links to the full texts.