AgenticInvestor

Philippines GDP From Manufacturing

Philippines · Quarterly series · EC-PH-GDPMAN

Latest, Q3 2026

815.28B PHP

-18.4% from Q2 2026

Open interactive chartPhilippines GDP From Manufacturing in the app

1.246T805.9B365.7BQ1 2000Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 834.62B PHP, with an 80% interval of 747.25B PHP to 928.06B PHP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 20261.17T PHP1.10T PHP1.25T PHP
Q1 20271.11T PHP1.02T PHP1.21T PHP
Q2 20271.04T PHP915.97B PHP1.17T PHP
Q3 2027834.62B PHP747.25B PHP928.06B 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
+81%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
10 of 10Anticipated most turns (10 turns in 8 tests, 0 without a turn)
Error vs baseline
81% lowerError ratio 0.19; 1.00 is a tie.
Tests won
8 / 8Complete rolling backtests; ties count as no win.
Test period
2018-12-01 to 2026-09-014 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

It is above 28% of the 39 earlier readings since Q4 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
Q3 2026815.28B PHP
Q2 2026999.25B PHP
Q1 20261.09T PHP
Q4 20251.16T PHP
Q3 2025809.86B PHP
Q2 20251.08T PHP
Q1 20251.08T PHP
Q4 20241.14T PHP
Q3 2024801.45B PHP
Q2 2024948.62B PHP
Q1 20241.03T PHP
Q4 20231.10T PHP
Q3 2023777.86B PHP
Q2 2023912.96B PHP
Q1 2023989.65B PHP
Q4 20221.09T PHP
Q3 2022763.53B PHP
Q2 2022903.70B PHP
Q1 2022968.52B PHP
Q4 20211.05T PHP
Q3 2021734.10B PHP
Q2 2021883.27B PHP
Q1 2021885.26B PHP
Q4 2020980.37B PHP

Source

Data: public market data feeds.

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