Italy GDP From Services

Italy · Quarterly series · EC-IT-GDPS

Latest, Q2 2026

322.44B EUR

+0.4% from Q1 2026

Open interactive chartItaly GDP From Services in the app

354.3B293.5B232.7BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 324.59B EUR, with an 80% interval of 285.81B EUR to 354.35B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026323.03B EUR318.94B EUR327.23B EUR
Q4 2026323.57B EUR314.61B EUR331.85B EUR
Q1 2027324.03B EUR313.01B EUR333.12B EUR
Q2 2027324.59B EUR285.81B EUR354.35B EUR

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

AI confidence

Weak evidence

The serving forecast made larger errors than the no-change baseline in these tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-17%Trails the no-change baseline over 8 tests (8 tests, 4 won)
Direction
62%No clear edge over a coin flip (20 of 32 calls right in 8 tests)
Turning points
4 of 11Anticipated some turns (11 turns in 8 tests, 1 without a turn)
Error vs baseline
17% higherError ratio 1.17; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
84%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

That is the highest of the 40 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 2026322.44B EUR
Q1 2026321.21B EUR
Q4 2025319.90B EUR
Q3 2025319.66B EUR
Q2 2025320.38B EUR
Q1 2025320.36B EUR
Q4 2024320.52B EUR
Q3 2024320.73B EUR
Q2 2024320.76B EUR
Q1 2024299.76B EUR
Q4 2023299.21B EUR
Q3 2023298.94B EUR
Q2 2023298.28B EUR
Q1 2023298.52B EUR
Q4 2022296.13B EUR
Q3 2022296.25B EUR
Q2 2022293.77B EUR
Q1 2022289.09B EUR
Q4 2021288.51B EUR
Q3 2021286.55B EUR
Q2 2021277.09B EUR
Q1 2021269.41B EUR
Q4 2020268.66B EUR
Q3 2020270.77B EUR

Source

Data: public market data feeds.

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