Spain External Debt
Spain · Quarterly series · EC-ES-ED
Latest, Q2 2026
2.93T EUR
+2.9% from Q1 2026
Forecast
Forecast for Q2 2027: 3.16T EUR, with an 80% interval of 2.97T EUR to 3.38T EUR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q3 2026 | 3.00T EUR | 2.96T EUR | 3.05T EUR |
| Q4 2026 | 3.06T EUR | 3.00T EUR | 3.12T EUR |
| Q1 2027 | 3.11T EUR | 3.01T EUR | 3.24T EUR |
| Q2 2027 | 3.16T EUR | 2.97T EUR | 3.38T EUR |
AI confidence
Supported evidenceThe 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
- +44%Beats the no-change baseline over 8 tests (8 tests, 8 won)
- Direction
- 94%Beats a coin flip (30 of 32 calls right in 8 tests)
- Turning points
- n/aToo few tests (7 turns, 8 needed) (7 turns in 8 tests, 3 without a turn)
- Error vs baseline
- 44% lowerError ratio 0.56; 1.00 is a tie.
- Tests won
- 8 / 8Complete rolling backtests; ties count as no win.
- Test period
- 2018-09-01 to 2026-06-014 observations ahead per test.
- 80% band coverage
- 81%Observed outcomes inside the band across all stored test windows.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-14 against the cached history through 2026-06-01.
- This is an evaluation of the serving model; it does not establish a winner across four model classes.
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.
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.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q2 2026 | 2.93T EUR |
| Q1 2026 | 2.84T EUR |
| Q4 2025 | 2.76T EUR |
| Q3 2025 | 2.69T EUR |
| Q2 2025 | 2.65T EUR |
| Q1 2025 | 2.62T EUR |
| Q4 2024 | 2.59T EUR |
| Q3 2024 | 2.58T EUR |
| Q2 2024 | 2.52T EUR |
| Q1 2024 | 2.51T EUR |
| Q4 2023 | 2.45T EUR |
| Q3 2023 | 2.40T EUR |
| Q2 2023 | 2.40T EUR |
| Q1 2023 | 2.37T EUR |
| Q4 2022 | 2.36T EUR |
| Q3 2022 | 2.36T EUR |
| Q2 2022 | 2.35T EUR |
| Q1 2022 | 2.37T EUR |
| Q4 2021 | 2.36T EUR |
| Q3 2021 | 2.35T EUR |
| Q2 2021 | 2.32T EUR |
| Q1 2021 | 2.28T EUR |
| Q4 2020 | 2.25T EUR |
| Q3 2020 | 2.21T EUR |
Source
Data: public market data feeds.
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