Malta Government Spending

Malta · Quarterly series · EC-MT-GSP

Latest, Q2 2026

957.60M EUR

+7.2% from Q1 2026

Open interactive chartMalta Government Spending in the app

1.248B765.6M283.1MQ1 2000Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 958.81M EUR, with an 80% interval of 777.96M EUR to 1.15B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026911.99M EUR843.37M EUR984.18M EUR
Q4 2026972.20M EUR721.38M EUR1.25B EUR
Q1 2027941.84M EUR796.15M EUR1.09B EUR
Q2 2027958.81M EUR777.96M EUR1.15B EUR

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-7%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
66%No clear edge over a coin flip (21 of 32 calls right in 8 tests)
Turning points
19 of 19Anticipated most turns (19 turns in 8 tests, 0 without a turn)
Error vs baseline
7% higherError ratio 1.07; 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 2026957.60M EUR
Q1 2026893.17M EUR
Q4 2025925.20M EUR
Q3 2025816.70M EUR
Q2 2025871.58M EUR
Q1 2025829.66M EUR
Q4 2024957.00M EUR
Q3 2024804.87M EUR
Q2 2024801.73M EUR
Q1 2024757.93M EUR
Q4 2023733.04M EUR
Q3 2023658.37M EUR
Q2 2023659.45M EUR
Q1 2023655.20M EUR
Q4 2022676.42M EUR
Q3 2022632.04M EUR
Q2 2022685.03M EUR
Q1 2022643.52M EUR
Q4 2021692.49M EUR
Q3 2021615.48M EUR
Q2 2021619.14M EUR
Q1 2021647.76M EUR
Q4 2020660.73M EUR
Q3 2020599.69M EUR

Source

Data: public market data feeds.

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