AgenticInvestor

Philippines Consumer Credit

Philippines · Quarterly series · EC-PH-CCR

Latest, Q2 2026

1.29T PHP

+5.3% from Q1 2026

Open interactive chartPhilippines Consumer Credit in the app

1.689T882.5B76BQ1 2006Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 1.51T PHP, with an 80% interval of 1.32T PHP to 1.69T PHP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20261.34T PHP1.32T PHP1.37T PHP
Q4 20261.42T PHP1.34T PHP1.52T PHP
Q1 20271.46T PHP1.38T PHP1.54T PHP
Q2 20271.51T PHP1.32T PHP1.69T PHP

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
+51%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
94%Beats a coin flip (30 of 32 calls right in 8 tests)
Turning points
n/aToo few tests (4 turns, 8 needed) (4 turns in 8 tests, 4 without a turn)
Error vs baseline
51% lowerError ratio 0.49; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 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

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 20261.29T PHP
Q1 20261.23T PHP
Q4 20251.19T PHP
Q3 20251.09T PHP
Q2 20251.04T PHP
Q1 2025960.55B PHP
Q4 2024934.55B PHP
Q3 2024845.28B PHP
Q2 2024797.07B PHP
Q1 2024744.70B PHP
Q4 2023722.46B PHP
Q3 2023661.89B PHP
Q2 2023618.61B PHP
Q1 2023572.87B PHP
Q4 2022555.28B PHP
Q3 2022507.44B PHP
Q2 2022478.27B PHP
Q1 2022446.07B PHP
Q4 2021440.63B PHP
Q3 2021404.40B PHP
Q2 2021402.24B PHP
Q1 2021400.21B PHP
Q4 2020419.86B PHP
Q3 2020405.58B PHP

Source

Data: public market data feeds.

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