Thailand Government Spending

Thailand · Quarterly series · EC-TH-GSP

Latest, Q2 2026

401.77B THB

+0.3% from Q1 2026

Open interactive chartThailand Government Spending in the app

467.1B309.1B151.1BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 406.66B THB, with an 80% interval of 398.47B THB to 414.93B THB.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026442.36B THB417.80B THB467.14B THB
Q4 2026428.33B THB404.93B THB452.47B THB
Q1 2027399.57B THB379.51B THB420.29B THB
Q2 2027406.66B THB398.47B THB414.93B THB

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

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
+39%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
91%Beats a coin flip (29 of 32 calls right in 8 tests)
Turning points
16 of 16Anticipated most turns (16 turns in 8 tests, 0 without a turn)
Error vs baseline
39% lowerError ratio 0.61; 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
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

It is above 59% 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 2026401.77B THB
Q1 2026400.38B THB
Q4 2025429.35B THB
Q3 2025434.83B THB
Q2 2025400.80B THB
Q1 2025386.83B THB
Q4 2024421.98B THB
Q3 2024452.24B THB
Q2 2024393.26B THB
Q1 2024374.88B THB
Q4 2023400.82B THB
Q3 2023426.62B THB
Q2 2023392.03B THB
Q1 2023382.98B THB
Q4 2022413.21B THB
Q3 2022448.91B THB
Q2 2022409.49B THB
Q1 2022407.31B THB
Q4 2021444.60B THB
Q3 2021455.73B THB
Q2 2021399.00B THB
Q1 2021377.35B THB
Q4 2020402.52B THB
Q3 2020444.69B THB

Source

Data: public market data feeds.

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