Indonesia External Debt

Indonesia · Quarterly series · EC-ID-ED

Latest, Q2 2026

453.37B USD

+4.4% from Q1 2026

Open interactive chartIndonesia External Debt in the app

504.9B312.3B119.6BQ1 2003Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 463.58B USD, with an 80% interval of 424.19B USD to 504.94B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026455.52B USD444.38B USD467.05B USD
Q4 2026458.45B USD444.06B USD473.12B USD
Q1 2027461.01B USD428.47B USD495.02B USD
Q2 2027463.58B USD424.19B USD504.94B USD

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, 6 won)
Direction
66%No clear edge over a coin flip (21 of 32 calls right in 8 tests)
Turning points
0 of 14Anticipated no turn, as the no-change baseline does (14 turns in 8 tests, 1 without a turn)
Error vs baseline
7% lowerError ratio 0.93; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
88%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 2026453.37B USD
Q1 2026434.46B USD
Q4 2025433.19B USD
Q3 2025427.58B USD
Q2 2025432.34B USD
Q1 2025430.36B USD
Q4 2024426.03B USD
Q3 2024428.14B USD
Q2 2024408.62B USD
Q1 2024405.37B USD
Q4 2023408.46B USD
Q3 2023394.95B USD
Q2 2023397.19B USD
Q1 2023403.94B USD
Q4 2022396.53B USD
Q3 2022394.15B USD
Q2 2022401.44B USD
Q1 2022410.57B USD
Q4 2021413.97B USD
Q3 2021423.35B USD
Q2 2021415.08B USD
Q1 2021414.89B USD
Q4 2020417.53B USD
Q3 2020408.52B USD

Source

Data: public market data feeds.

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