Spend-Based Scope 3 and a Restated Baseline
Northwind Apparel Group (revenue €5.8 billion, gross margin 41%) publishes a FY2023 sustainability report stating Scope 3 emissions of 4.6 MtCO2e. Of that, 74% is calculated with spend-based emission factors, supplier-specific data cover 11% of procurement spend, and Scope 1 and 2 total 62,000 tCO2e. After investor challenge, Northwind restates FY2022 Scope 3 from 3.9 to 4.5 MtCO2e (+15%), citing updated emission factors and a boundary change to include customer returns. The report nonetheless says the company is “on track” for its SBTi 1.5°C target because intensity per unit fell 4%, while absolute Scope 3 rose 6%. Limited assurance covers Scope 1 and 2 only. CDP climate score is B. Management’s internal carbon price is €35/t, used only for capex above €25 million. The analyst is building a climate-transition sensitivity for a credit and equity view.
1. Assess the decision usefulness of the Scope 3 disclosure and identify the main red flags.
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Decision usefulness is limited. Spend-based factors are economic input-output proxies, not supplier-specific measurements; with only 11% of spend covered by supplier data, category-level error could be ±30–50%, not the precision implied by 4.6 Mt. The 15% restatement destroys trend comparability and suggests controls are weak. The boundary change for returns is legitimate but should have been applied consistently. The claim of being 'on track' is internally inconsistent: restated FY2022 Scope 3 of 4.5 Mt to FY2023 4.6 Mt is about +2%, not the reported +6%, and absolute emissions are rising while intensity falls. That is a red flag for target management. Limited assurance on Scope 1+2 only means the largest number is unassured. A CDP B score does not cure these issues. The disclosure is directionally useful for engagement but not decision-useful for a quantitative transition sensitivity without adjustment.
2. How should the analyst adjust the emissions baseline and target assessment?
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Rebase on the restated 4.5 Mt FY2022 and 4.6 Mt FY2023, and treat the 4.6 Mt as a central estimate with a wide uncertainty band, say 3.5–5.5 Mt, reflecting spend-based methods. Do not use the 4% intensity decline as evidence of decoupling; test absolute emissions and revenue growth. If revenue grew, calculate implied carbon intensity and compare with the SBTi pathway. The reported 6% absolute increase is inconsistent with the restated base; ask management to reconcile. For valuation, apply the internal carbon price of €35/t only as a sensitivity, not a forecast, because it is used for capex above €25m and may not reflect supply-chain costs. A 1 Mt change at €35/t is €35m, small versus €5.8bn revenue, but the target miss could raise cost of capital and customer risk. Adjust the climate-transition scenario for supplier data improvement and boundary changes.
3. What questions should the analyst put to management and the assurance provider?
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Ask: what share of each Scope 3 category is spend-based, and what is the estimated error? Which emission factors changed and why? How were returns and sold products modelled? What controls ensure the boundary is complete? Why is the absolute trend +6% when the restated base implies ~+2%? What is the SBTi target boundary, base year, and progress against it? Will Scope 3 be assured, and to what level? How is the €35/t internal carbon price used in sourcing and capex? What supplier engagement and data-quality plan exists? The answers should determine whether the analyst uses the 4.6 Mt figure, applies a data-quality discount, and whether to treat the target as credible.