Lithuania Government Revenues

Lithuania · Quarterly series · EC-LT-GR

Latest, Q4 2025

9.17B EUR

+15.2% from Q3 2025

Open interactive chartLithuania Government Revenues in the app

11.51B6.308B1.106BQ1 1999Q4 2026
History through Q4 2025, the forecast path to Q4 2026 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q4 2026: 9.79B EUR, with an 80% interval of 8.08B EUR to 11.51B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q1 20267.99B EUR7.86B EUR8.13B EUR
Q2 20269.51B EUR9.01B EUR10.11B EUR
Q3 20268.62B EUR7.71B EUR9.49B EUR
Q4 20269.79B EUR8.08B EUR11.51B EUR

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
+46%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
88%Beats a coin flip (28 of 32 calls right in 8 tests)
Turning points
24 of 24Anticipated most turns (24 turns in 8 tests, 0 without a turn)
Error vs baseline
46% lowerError ratio 0.54; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-03-01 to 2025-12-014 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 Q1 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
Q4 20259.17B EUR
Q3 20257.96B EUR
Q2 20258.85B EUR
Q1 20257.22B EUR
Q4 20248.34B EUR
Q3 20247.33B EUR
Q2 20247.91B EUR
Q1 20246.55B EUR
Q4 20237.61B EUR
Q3 20236.36B EUR
Q2 20237.23B EUR
Q1 20235.95B EUR
Q4 20226.85B EUR
Q3 20225.72B EUR
Q2 20226.24B EUR
Q1 20225.22B EUR
Q4 20215.73B EUR
Q3 20214.94B EUR
Q2 20215.53B EUR
Q1 20214.33B EUR
Q4 20205.01B EUR
Q3 20204.44B EUR
Q2 20204.63B EUR
Q1 20203.98B EUR

Source

Data: public market data feeds.

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