Swaziland External Debt

Swaziland · Quarterly series · EC-SZ-ED

Latest, Q2 2026

20.50B SZL

-2.0% from Q1 2026

Open interactive chartSwaziland External Debt in the app

25.92B14.23B2.543BQ4 2004Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 21.45B SZL, with an 80% interval of 17.00B SZL to 25.92B SZL.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202620.63B SZL18.67B SZL22.78B SZL
Q4 202620.90B SZL19.70B SZL22.16B SZL
Q1 202721.18B SZL18.04B SZL24.45B SZL
Q2 202721.45B SZL17.00B SZL25.92B SZL

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
+18%Beats the no-change baseline over 7 tests (7 tests, 6 won)
Direction
86%No clear edge over a coin flip (24 of 28 calls right in 7 tests)
Turning points
1 of 14Anticipated some turns (14 turns in 7 tests, 0 without a turn)
Error vs baseline
18% lowerError ratio 0.82; 1.00 is a tie.
Tests won
6 / 7Complete rolling backtests; ties count as no win.
Test period
2019-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
89%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 97% 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 202620.50B SZL
Q1 202620.91B SZL
Q4 202519.78B SZL
Q3 202517.79B SZL
Q2 202517.89B SZL
Q1 202516.26B SZL
Q4 202416.82B SZL
Q3 202415.32B SZL
Q2 202416.49B SZL
Q1 202415.53B SZL
Q4 202316.04B SZL
Q3 202316.41B SZL
Q2 202315.78B SZL
Q1 202315.12B SZL
Q4 202214.39B SZL
Q3 202213.87B SZL
Q2 202212.92B SZL
Q1 202210.77B SZL
Q4 202111.44B SZL
Q3 202110.73B SZL
Q2 202110.34B SZL
Q1 202110.37B SZL
Q4 20209.77B SZL
Q3 202011.12B SZL

Source

Data: public market data feeds.

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