03 — Forecast & Risk

How confident should we be in the forecast?

Backtest: better model, not accurate model

The driver-based forecast produced a smaller error than a naive extrapolation on every metric — but both undershot what adidas actually delivered. Beating a naive baseline once is not the same claim as being reliable.

Naive extrapolation Driver-based
Revenue
3.1%
5.5%
Operating profit
14.9%
22.3%
Free cash flow
3.4%
14.8%
Absolute forecast error vs. FY2025 actuals
NaiveDriver-basedActual
Revenue€26.18bn€25.59bn€24.81bn
Operating profit€1.60bn€1.75bn€2.06bn
Free cash flow€1.27bn€1.07bn€1.11bn

Why the forecast missed

Free cash flow landed +€37m from the forecast, which reads like a model that worked. Walking each assumption to what FY2025 actually delivered shows €808m of driver error that happened to cancel.

Forecast
€1.07bn
Revenue growth
+€90m
EBITDA margin
+€181m
Effective tax rate
+€43m
Working capital
−€372m
Capex
+€123m
Residual
−€27m
Actual
€1.11bn
DriverAssumedActualImpact
Revenue growth
FY2025 net sales over FY2024 net sales, as reported
8.0%4.8%+€90m
EBITDA margin
FY2025 EBITDA over FY2025 net sales, as reported
11.6%12.6%+€181m
Effective tax rate
FY2025 effective tax rate, as reported
26.5%24.3%+€43m
Working capital
FY2025 operating working capital as a percentage of net sales, as disclosed
21.5%23.0%−€372m
Capex
FY2025 capital expenditure, as reported
€600m€477m+€123m
Residual
not attributable to any driver
−€27m

Driver errors largely offset: €808m of gross movement nets to €+37m. The forecast landed close on this metric despite every assumption behind it being wrong, so the small variance is not evidence the assumptions were sound.

Not attributable to a driver: the model scales D&A with revenue, product-division revenue does not sum exactly to reported group net sales, and free cash flow is a derived construction rather than a disclosed line item.

Sequential bridge: drivers are substituted in a fixed order, so interaction effects are attributed to whichever driver moves later.

Working capital reduced free cash flow by 372.3, the largest impact of any driver. Revenue growth added 89.8, EBITDA margin added 180.6, the effective tax rate added 42.8, and lower capex added 123.0. These opposing forces largely offset, yielding a small net increase of 37.2 despite substantial underlying movement in the assumptions. The residual of -26.6 reflects the portion of the variance not explained by the five drivers.

Forecast vintage

One backtest point, not a rolling history. A vintage timeline (plan → quarterly updates → actual) needs forecast snapshots taken through the year — this project has only the FY2024 report’s initial FY2025 guidance and the FY2025 actuals, an annual cross-section rather than a rolling forecast. Showing a fabricated multi-point timeline here would overstate what this data supports.

FY2024 reportGuidance set
FY2025 actualChecked against

Monte Carlo range

Ranges are adidas's own disclosed FY2025 guidance bands, not historical volatility -- three fiscal years is too few to estimate volatility honestly. Capex has no disclosed range; a +/-5% band was assumed around the guided point figure.

€865m€1.27bn
Median (P50): €1.07bn Actual FY2025: €1.11bn
P10€963m
P50€1.07bn
P90€1.18bn

Where should FP&A spend the next hour of diligence?

Ranked by simulated sensitivity to free cash flow, combined with how confident the underlying assumption is.

  1. 1
    Working capital
    High sensitivity·High confidence
  2. 2
    EBITDA margin
    Medium sensitivity·Medium confidence
  3. 3
    Capex
    Medium sensitivity·High confidence
  4. 4
    Revenue growth
    Low sensitivity·Medium confidence
  5. 5
    Effective tax rate
    Not simulated sensitivity·Low confidence