Wind energy · Order economics
Nordex Q3 Orders Rose 29.5%: How to Read the Lower ASP
Source released 12 October 2026 · Reporting period: July–September 2026
Nordex's order growth and lower average selling price can coexist without proving that comparable turbines became cheaper. The useful distinction is between how much capacity customers ordered, what those contracts contain, and the price of a like-for-like package.
In its 12 October release, Nordex reported nine-month intake of 7,733 MW versus 6,661 MW. Q3 ASP fell from €0.93 million per MW; the company attributed the movement mainly to project scope and regional mix, while describing pricing as stable. These figures exclude the Service business.
Where the additional orders arrived
Text alternative: 432 MW plus 640 MW equals the 1,072 MW nine-month increase. Q3 accounts for 59.7%.
This contribution calculation asks a different question from a growth rate. A percentage growth rate compares a period with its own previous-year base. A contribution measures how much that period adds to the change in a larger total. Keeping those questions separate prevents a fast-growing quarter from being mistaken for the entire year's experience.
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| Measure | 2025 | 2026 |
|---|---|---|
| Q3 orders, MW | 2,170 | 2,810 |
| Nine-month orders, MW | 6,661 | 7,733 |
| Q3 ASP, €m/MW | 0.93 | 0.90 |
Why an average is not a price index
Imagine two hypothetical turbine packages with unchanged prices: a supply-only contract and a broader package that includes more installation work. If the next quarter contains a larger share of the first package, average euros per megawatt can fall even though neither package was discounted. Geography can create another compositional difference when transportation, installation requirements or contract scope vary. This example explains the measurement problem; it does not identify the terms of any Nordex project.
The opposite caution also matters. A stable average cannot, by itself, prove stable pricing. Discounts on a comparable package could be hidden by a shift toward more expensive work. A useful pricing test therefore holds the product, scope, location and commercial terms as constant as possible. Without that comparison, an average is a description of the contracts booked, not a clean measure of bargaining power.
Choose the question you want the numbers to answer
Does falling ASP mean lower profitability?
Not necessarily. Profit depends on the revenue a contract will generate and the cost of fulfilling it. A narrower package might carry less revenue and less cost. Equally, cost inflation can squeeze profitability even when selling prices hold. A margin conclusion needs contract economics or reported profitability, neither of which follows mechanically from megawatts and ASP.
Can I multiply orders by ASP to estimate future revenue?
That multiplication gives an approximate scale for the booked package using rounded inputs. It does not establish when revenue will be recognized, how much has already been recognized, or what happens if contract terms change. It is best treated as a rough order-intake illustration rather than a revenue forecast. This report deliberately does not label that product as issuer-reported order value.
A practical reading sequence
Start with the physical measure. Confirm whether the announcement covers new contracts, backlog, deliveries or installations. Then check the time window and exclusions. Only after those checks should you examine price, mix and the path from signing a contract to receiving cash.
For a supplier, a larger booked workload raises a second set of questions: production scheduling, components, working capital and execution capacity. Those questions are not evidence that problems exist. They identify the information needed before turning commercial momentum into an earnings estimate. A strong order announcement can be encouraging while leaving those questions unresolved.
The disciplined conclusion is narrow: use this release to assess the pace and composition of contracting. Use subsequent financial and operational disclosures to evaluate conversion and profitability. Combining those stages too early makes a confident forecast out of incomplete measurements.
