AgenticInvestor

Philippines Gross Fixed Capital Formation

Philippines · Quarterly series · EC-PH-GFCF

Latest, Q3 2026

1.16T PHP

-13.9% from Q2 2026

Open interactive chartPhilippines Gross Fixed Capital Formation in the app

2.345T1.313T282.1BQ1 2000Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 1.19T PHP, with an 80% interval of 1.05T PHP to 1.36T PHP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 20261.31T PHP1.06T PHP1.59T PHP
Q1 20271.17T PHP992.49B PHP1.38T PHP
Q2 20271.36T PHP433.84B PHP2.34T PHP
Q3 20271.19T PHP1.05T PHP1.36T 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
+28%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
78%No clear edge over a coin flip (25 of 32 calls right in 8 tests)
Turning points
21 of 21Anticipated most turns (21 turns in 8 tests, 0 without a turn)
Error vs baseline
28% lowerError ratio 0.72; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-12-01 to 2026-09-014 observations ahead per test.
80% band coverage
81%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 46% 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 20261.16T PHP
Q2 20261.34T PHP
Q1 20261.17T PHP
Q4 20251.29T PHP
Q3 20251.21T PHP
Q2 20251.56T PHP
Q1 20251.20T PHP
Q4 20241.37T PHP
Q3 20241.20T PHP
Q2 20241.52T PHP
Q1 20241.13T PHP
Q4 20231.31T PHP
Q3 20231.12T PHP
Q2 20231.38T PHP
Q1 20231.10T PHP
Q4 20221.19T PHP
Q3 20221.03T PHP
Q2 20221.32T PHP
Q1 2022994.14B PHP
Q4 20211.12T PHP
Q3 2021941.01B PHP
Q2 20211.18T PHP
Q1 2021895.86B PHP
Q4 20201.01T PHP

Source

Data: public market data feeds.

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