First Piemonte 2026 quote context
€10 per punto resa from Castagnole delle Lanze is the first clear “opening number” for the 2026 Piemonte hazelnut campaign. Translated into the way most buying desks think, that signal implies about €420 per quintale at 42 resa and €440 per quintale at 44 resa for first-tier lots. In practice, that first quote quickly becomes a reference point in calls and emails far beyond the fair itself.
This matters because Piemonte is treated as a premium origin in industrial procurement. When a premium origin prints an early number, it often sets the psychological range for negotiations on “like-quality” Italian lots, even outside Piemonte. Buyers who need consistent roasting behavior for pralines, paste, and inclusions tend to use Piemonte as the benchmark when they discuss quality premiums.
It is also important to be clear about what the opening quote is and is not. It is typically an early-market benchmark for in-shell hazelnuts, not a full-season average. At the start of intake, the market has not yet seen the full spread of volumes, moisture variability, and defect rates that will shape real settlement prices lot by lot.
Procurement teams usually ask the same questions right away. Is €440/q a real trade level or fair-day hype. Does it apply to all calibers. What acceptance specs define “prima fascia”. And how quickly do co-ops and processors update their list prices after the fair. The practical answer is that the quote is best treated as an anchor for framework agreements, then adjusted through resa and quality bands as intake data becomes visible.
The most useful next step is tracking the follow-on bulletins and processor intake schedules. If subsequent local lists keep referencing €10 per punto resa for first-tier material, the anchor is holding. If they start widening the bonus and penalty grids, the market is shifting from headline price to sorting reality.
Meaning of punto resa
Punto resa is the paid yield metric tied to kernel outturn, meaning the shelling yield of in-shell hazelnuts. In commercial discussions, yields are often talked about in the mid-to-high 40% range, though the real number depends on variety, drying, grading, and the lab method used. That is why buyers should always ask how resa is measured and under what sampling protocol.
The math is simple, and it is worth teaching internally because it helps sanity-check invoices. Price in €/q in-shell is approximately the €/punto resa multiplied by the resa points. With the Castagnole quote, €10 × 44 equals €440/q. At 42 points it is €420/q, and at 46 points it is €460/q.
Units can trip people up, especially when teams compare origins. One quintale is 100 kg, so €440/q equals €4.40/kg in-shell before any bonuses or penalties. If you convert that to a kernel-equivalent number, you divide by the yield. Using 44% as an example, €4.40/0.44 is about €10.00/kg kernel-equivalent, before processing and selection costs.
Kernel-equivalent is a useful internal planning tool, but it is not the same as a delivered shelled-kernel price. Shelling cost, sorting, defect removal, shrink and moisture loss, packaging, and working capital all sit on top. If a buyer compares kernel-equivalent to a supplier’s shelled-kernel offer without adding those items, the comparison will be misleading.
Sampling and measurement are where disputes start, so they should be handled upfront. Buyers should ask what moisture is assumed at intake, how many sub-samples are taken per lot, which defects count as visible avariato, and what happens if resa is disputed. Contracts that include re-test rights and a reference lab reduce friction when the first settlements arrive.
Competitiveness vs Turkey origins
The Piemonte anchor implies roughly €10/kg kernel-equivalent at 44% resa, before processing costs. That number looks high when set next to EU import benchmarks for shelled hazelnuts, where weighted-average prices around €6.9/kg are shown over Jan 2022 to Mar 2026 for CN 08022200. The catch is that these are not apples-to-apples comparisons unless grade, size, and defect specs align.
Türkiye is the dominant extra-EU supplier for shelled hazelnuts, accounting for about two-thirds of EU imports in that period. For many procurement teams, Turkey becomes the “floor” reference, while Piemonte sits in the premium tier. The premium is usually justified through flavor expectations, consistency, and shorter lead times for EU processors, but it still needs to be defended in cost-in-use terms.
FX and logistics can move the delivered cost more than buyers expect. EUR/TRY shifts, freight and insurance, border checks, and lead times all affect the landed number. A practical approach is to model a delivered-to-plant cost on a DDP or equivalent basis, then add finance costs and a quality-risk allowance for issues that can trigger extra sorting or rejections.
Specs are where the premium becomes measurable. If your internal spec is something like 13–15 mm with low defects and consistent roasting performance, you can frame the negotiation as “what premium versus a Turkey reference is acceptable for this spec.” Caliber bands such as 11–13, 13–15, and 15+ are common market language, and larger sizes often price higher, so the comparison should be done within the same band.
A high in-shell anchor can still be competitive if it reduces rejection rates or improves industrial yield. If a lot roasts more evenly, produces fewer off-notes, or lowers paste correction and blending costs, total cost-in-use can beat cheaper kernels that require heavy sorting or cause process variability. That is why quality documentation and intake data matter as much as the headline €/q.
Quality sorting signals
The Castagnole quote is explicitly linked to “prima fascia,” meaning first-tier quality lots. Even within the same origin, multiple tiers trade at different €/punto resa or €/q outcomes once grading results come in. Buyers should assume that the opening quote is for the best-looking material, not the full distribution of what will be delivered over the campaign.
The biggest pay drivers are the ones that change industrial yield. Size and caliber distribution influence how much ends up in the target band after sieving. Visible defects, moisture at delivery, foreign matter, shrivelled kernels, mold, and mechanical damage all affect how much usable kernel a processor gets and how stable the process will be.
Some Italian wholesale lists price lots assuming very low visible defects, for example under 2% avariato visibile. In B2B terms, that becomes a quality gate. If the lot meets the gate, it can qualify for the “first-tier” price logic. If it misses, the price should move through a clear bonus and penalty grid rather than ad hoc deductions.
Grading mechanics are straightforward but easy to misunderstand across teams. Intake sampling is followed by lab tests for resa and moisture, then a sorting plan that includes sieving and calibrating, and finally the settlement. Buyers should ask for the grading report and confirm that results are based on representative sample sizes, not a single grab sample.
Negotiations go smoother when defect definitions are explicit. “Avariato” can mean different things in practice unless the parties agree what counts as rancid, moldy, or otherwise non-conforming. Agreeing the measurement method, the reference laboratory, and a transparent bonus and malus grid linked to resa and defects turns quality into a shared language.
Contract timing implications
An early anchor can push buyers toward early-season locking, especially if they need budget certainty. The risk is that early fixed pricing can look expensive if later supply loosens or if the market shifts once the full quality distribution is known. A staged strategy often fits best: cover base needs early, then leave additional volume indexed or adjustable.
Three contract structures show up repeatedly in nuts. Fixed price is simplest but carries the most timing risk. Formula or indexed pricing links settlement to €/punto resa and agreed market references, which can be more transparent when quality is variable. Collar agreements, with a minimum and maximum, can cap exposure while still allowing some market movement.
For 2026 campaigns, the clauses worth revisiting are the ones that create surprises at delivery. Quality tolerance bands, re-testing and dispute resolution, delivery windows, moisture limits and shrink allowances, and penalties for non-conforming lots should be written in measurable terms. Substitution rules also matter, especially if “first-tier” volumes are tighter than expected.
A practical B2B structure is contracting an in-shell equivalent volume priced at € per punto resa with a monthly adjustment. On top of that, a premium can be paid for meeting defect thresholds, with a penalty schedule if sorting yield falls below agreed levels. This aligns incentives and reduces the temptation to argue about headline €/q after the fact.
The key buyer questions are tactical. Do you lock now before competition bids up first-tier lots. How do you cap exposure if resa comes in lower than expected. What acceptance sampling plan prevents surprises at delivery. The best answers are the ones tied to measurable specs, agreed sampling, and a settlement formula that both sides can audit.
Checklist for growers and buyers
- Documentation: lot ID, orchard or producer traceability, harvest date, drying records, storage conditions, transport conditions, and any IGP or quality scheme paperwork where applicable.
- Sampling protocol: sampling frequency per truck or lot, minimum sample weight, how sub-samples are mixed, sealed counter-samples, timeline for lab results, who pays for re-tests, and which lab is binding.
- Resa commercial grid: pre-agreed resa bands such as 42, 44, and 46 points with the €/punto resa stated clearly, plus automatic adjustments if moisture is outside limits.
- Quality-band levers: defect thresholds such as visible defects, foreign matter limits, and caliber targets, with premiums for first-tier conformity and clear penalties or rejection rules for off-spec lots.
- Operational planning: kernel-equivalent math for net availability from X tonnes in-shell, expected lot-to-lot variability in roasting and texture, and the supplier’s sorting capacity and lead time during peak intake.