Poland Consumer Spending

Poland · Quarterly series · EC-PL-CS

Latest, Q2 2026

563.97B PLN

-2.0% from Q1 2026

Open interactive chartPoland Consumer Spending in the app

637.6B346.4B55.15BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 591.93B PLN, with an 80% interval of 550.65B PLN to 629.70B PLN.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026570.72B PLN558.77B PLN584.23B PLN
Q4 2026558.30B PLN540.21B PLN576.18B PLN
Q1 2027600.45B PLN566.88B PLN637.62B PLN
Q2 2027591.93B PLN550.65B PLN629.70B PLN

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+23%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
78%No clear edge over a coin flip (25 of 32 calls right in 8 tests)
Turning points
23 of 24Anticipated most turns (24 turns in 8 tests, 0 without a turn)
Error vs baseline
23% lowerError ratio 0.77; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
91%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 97% of the 39 earlier readings since Q3 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
Q2 2026563.97B PLN
Q1 2026575.63B PLN
Q4 2025524.76B PLN
Q3 2025541.58B PLN
Q2 2025530.75B PLN
Q1 2025538.66B PLN
Q4 2024485.74B PLN
Q3 2024504.77B PLN
Q2 2024490.90B PLN
Q1 2024506.43B PLN
Q4 2023419.81B PLN
Q3 2023449.07B PLN
Q2 2023421.97B PLN
Q1 2023430.57B PLN
Q4 2022359.30B PLN
Q3 2022382.17B PLN
Q2 2022375.99B PLN
Q1 2022386.14B PLN
Q4 2021344.18B PLN
Q3 2021358.47B PLN
Q2 2021333.78B PLN
Q1 2021343.26B PLN
Q4 2020307.44B PLN
Q3 2020331.96B PLN

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Poland