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    Sizewell C financing ‘terrible deal’: risk and funding lessons for project teams

    October 29, 2026|

    Reviewed by Tom Sullivan

    Sizewell C financing ‘terrible deal’: risk and funding lessons for project teams

    First reported on New Civil Engineer

    30 Second Briefing

    Financing for the 3.2GW Sizewell C nuclear plant on the Suffolk coast has been condemned as “a terrible deal for the UK taxpayer” by the House of Commons Public Accounts Committee, which scrutinises value for money in major public projects. MPs are challenging the current funding model, which relies heavily on long-term consumer and taxpayer commitments to underwrite construction and financing risk. The criticism raises fresh uncertainty for large, capital-intensive low‑carbon infrastructure schemes that depend on complex, multi-decade funding structures.

    Technical Brief

    • Long construction duration for a 3.2GW plant locks contractors into extended exposure to inflation and financing risk.
    • Nuclear-grade civil works require stringent QA/QC on concrete, earthworks and structural detailing, increasing upfront construction cost.
    • PAC scrutiny of value-for-money may drive tighter cost control and risk transfer in nuclear civils contracts.
    • Similar large low-carbon plants with long build times face comparable financing–construction interface risk profiles.

    Our Take

    The 3.2GW Sizewell C scheme has already been the subject of a separate Public Accounts Committee session on cost overrun risk and transparency (June 2026 coverage), signalling that scrutiny of its financing is part of a broader concern over nuclear megaproject governance rather than a one-off intervention.

    For contractors and financiers, the PAC’s pattern of challenging delivery models on other projects (e.g. Northern Powerhouse Rail’s funding cap issues) implies that any complex financing structure at Sizewell C is likely to face ongoing pressure for simpler, more transparent risk allocation over the project’s life.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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