Lesotho GDP From Services

Lesotho · Quarterly series · EC-LS-GDPS

Latest, Q1 2026

384.97M LSL

-16.0% from Q4 2025

Open interactive chartLesotho GDP From Services in the app

885.8M582.4M279.1MQ1 2007Q1 2027
History through Q1 2026, the forecast path to Q1 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2027: 403.08M LSL, with an 80% interval of 279.06M LSL to 561.98M LSL.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 2026372.53M LSL288.24M LSL470.40M LSL
Q3 2026398.75M LSL299.91M LSL511.62M LSL
Q4 2026461.55M LSL405.08M LSL528.12M LSL
Q1 2027403.08M LSL279.06M LSL561.98M LSL

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
+6%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
81%No clear edge over a coin flip (26 of 32 calls right in 8 tests)
Turning points
16 of 17Anticipated most turns (17 turns in 8 tests, 0 without a turn)
Error vs baseline
6% lowerError ratio 0.94; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-06-01 to 2026-03-014 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 38% of the 39 earlier readings since Q2 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
Q1 2026384.97M LSL
Q4 2025458.07M LSL
Q3 2025391.05M LSL
Q2 2025353.72M LSL
Q1 2025375.85M LSL
Q4 2024431.09M LSL
Q3 2024396.43M LSL
Q2 2024333.72M LSL
Q1 2024371.57M LSL
Q4 2023410.61M LSL
Q3 2023353.90M LSL
Q2 2023334.05M LSL
Q1 2023354.68M LSL
Q4 2022391.37M LSL
Q3 2022343.03M LSL
Q2 2022343.44M LSL
Q1 2022390.31M LSL
Q4 2021398.78M LSL
Q3 2021338.28M LSL
Q2 2021362.35M LSL
Q1 2021351.11M LSL
Q4 2020357.25M LSL
Q3 2020375.69M LSL
Q2 2020290.46M LSL

Source

Data: public market data feeds.

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