Evidence · adidas · FY2025

How confident should we be in the forecast?

Backtest: better model, not accurate model

Across the two vintages this data supports, the driver-based forecast landed closer than a naive extrapolation on all six metric-year pairs. That is a statement about a weak baseline, not about accuracy: both methods undershot in both years, and the FY2024 operating-profit forecast was wrong by 63%. Beating a naive baseline 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 it missed

The scorecard says by how much. This says which assumption was wrong — each driver walked from what was forecast to what was reported, one at a time, with whatever the drivers do not explain left visible as a residual rather than absorbed into the last step. Sequential bridge: drivers are substituted in a fixed order, so interaction effects are attributed to whichever driver moves later.

The same assumption dominates both years, in opposite directions. Working capital was forecast at 23.5% of sales for FY2024 and came in at 19.7% — a release worth +€900m of cash nobody planned for. A year later it was forecast at 21.5% and came in at 23.0%, a build worth −€372m. The driver this model ranks first for management attention is the one that has actually driven the forecast error, twice.

FY2023 → FY2024

Forecast
€1.09bn
Revenue growth
−€201m
EBITDA margin
+€481m
Effective tax rate
+€101m
Working capital
+€900m
Capex
+€60m
Residual
−€20m
Actual
€2.41bn
DriverAssumedActualImpact
Revenue growth
net sales over the prior year, as reported
5.0%10.5%−€201m
EBITDA margin
EBITDA over net sales, as reported
7.3%10.4%+€481m
Effective tax rate
effective tax rate, as reported
34.5%26.5%+€101m
Working capital
average operating working capital as a percentage of net sales, as disclosed
23.5%19.7%+€900m
Capex
capital expenditure, as reported
€600m€540m+€60m
Residual
not attributable to any driver
−€20m

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.

FY2024 → FY2025

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.

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
net sales over the prior year, as reported
8.0%4.8%+€90m
EBITDA margin
EBITDA over net sales, as reported
11.6%12.6%+€181m
Effective tax rate
effective tax rate, as reported
26.5%24.3%+€43m
Working capital
average operating working capital as a percentage of net sales, as disclosed
21.5%23.0%−€372m
Capex
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.

Does the error repeat?

Two vintages, each built from the initial guidance in the prior year’s report — never a figure revised part-way through the year it describes. One point shows the size of a miss; two show whether it recurs. Both years undershoot operating profit, because adidas guided conservatively in both and beat its own guidance in both. That is a property of the input, not of the arithmetic.

Forecast error by metric and vintage, driver-based against a naive extrapolation. The closer of the two is shown in bold.
Error vs. actualFY2023 → FY2024guidance published February 2024FY2024 → FY2025guidance published March 2025
Driver-basedNaiveDriver-basedNaive
Revenue−5.0%−13.9%+3.1%+5.5%
Operating profit−62.6%−84.8%−14.9%−22.3%
Free cash flow−54.7%−72.2%−3.4%+14.8%

Winning every comparison is a statement about the baseline, not about accuracy. A −62.6% miss beats a −84.8% miss and both are badly wrong. What these two years support is that the error repeats: guidance-anchored forecasts inherit whatever conservatism the guidance carried.

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: €1.11bn
P10€963m
P50€1.07bn
P90€1.18bn

Which assumption explains the most variance?

The simulation ranks assumptions by how much of the free-cash-flow spread each one explains. That is a statistical reading, and it is not the same question as where management should spend its attention — an assumption can dominate the variance and still be one nobody can move. Priorities answers that second question.

  • Working capital, % of sales-0.92
  • Operating profit within guidance0.27
  • Capital expenditure-0.22
  • Revenue growth-0.19
Ranked management priorities →

Data lineage — an example

Source disclosureadidas_Report_2024.pdf, Targets – Results – Outlook, “2025 Outlook” column
Extracted factOperating profit guidance: €1.7bn – €1.8bn
Model assumptionEBITDA margin back-solved to hit the €1.75bn midpoint at 8% revenue growth (11.6%)
Forecast outputBase-case operating profit: €1.75bn

What this is not

  • A multi-company benchmark. One business, modelled in depth over a single planning horizon — not a peer comparison.
  • A price/volume analysis. adidas does not disclose that split, so product-division growth is the driver used here. The channel split (wholesale and direct-to-consumer) is extracted and available as an alternative segmentation, but the model runs one at a time.
  • A track record. Two backtest points. Enough to show an error repeating and to expose a broken assumption; not enough to show the approach generalizes, and both forecasts missed by a lot.
  • A trading or investment signal. A methodology exercise on public financial disclosures.
  • Advice. Nothing here is a recommendation. The management questions are prompts for a discussion, not conclusions from one.