Peru External Debt

Peru · Quarterly series · EC-PE-ED

Latest, Q2 2026

153.27B USD

-2.9% from Q1 2026

Open interactive chartPeru External Debt in the app

184.8B105.7B26.57BQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 150.72B USD, with an 80% interval of 117.91B USD to 180.57B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026152.47B USD143.39B USD162.46B USD
Q4 2026151.63B USD129.56B USD175.53B USD
Q1 2027151.17B USD116.56B USD184.77B USD
Q2 2027150.72B USD117.91B USD180.57B 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
-5%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
41%No clear edge over a coin flip (13 of 32 calls right in 8 tests)
Turning points
1 of 9Anticipated some turns (9 turns in 8 tests, 1 without a turn)
Error vs baseline
5% higherError ratio 1.05; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
91%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 77% 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 2026153.27B USD
Q1 2026157.79B USD
Q4 2025156.08B USD
Q3 2025162.65B USD
Q2 2025169.70B USD
Q1 2025164.75B USD
Q4 2024168.36B USD
Q3 2024167.21B USD
Q2 2024166.20B USD
Q1 2024158.81B USD
Q4 2023105.70B USD
Q3 2023102.75B USD
Q2 2023103.86B USD
Q1 2023103.33B USD
Q4 2022102.27B USD
Q3 2022101.51B USD
Q2 2022101.57B USD
Q1 2022102.48B USD
Q4 2021103.68B USD
Q3 202198.14B USD
Q2 202193.13B USD
Q1 202193.27B USD
Q4 202088.38B USD
Q3 202084.91B USD

Source

Data: public market data feeds.

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