Philippines Changes In Inventories

Philippines · Quarterly series · EC-PH-IC

Latest, Q3 2026

37.00B PHP

-16.6% from Q2 2026

Open interactive chartPhilippines Changes In Inventories in the app

98.46B-59.71B-217.9BQ1 2000Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 26.34B PHP, with an 80% interval of -38.59B PHP to 92.49B PHP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 202631.50B PHP-3.54B PHP66.91B PHP
Q1 202725.57B PHP-11.47B PHP63.52B PHP
Q2 202723.70B PHP-31.06B PHP79.81B PHP
Q3 202726.34B PHP-38.59B PHP92.49B 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
+25%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
72%No clear edge over a coin flip (23 of 32 calls right in 8 tests)
Turning points
10 of 17Anticipated most turns (17 turns in 8 tests, 0 without a turn)
Error vs baseline
25% lowerError ratio 0.75; 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
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 90% 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 202637.00B PHP
Q2 202644.34B PHP
Q1 2026-6.55B PHP
Q4 2025-23.40B PHP
Q3 2025-21.18B PHP
Q2 2025-29.93B PHP
Q1 20252.67B PHP
Q4 202416.76B PHP
Q3 202415.07B PHP
Q2 2024-4.65B PHP
Q1 202411.39B PHP
Q4 202317.41B PHP
Q3 2023-46.66B PHP
Q2 2023-27.79B PHP
Q1 202328.80B PHP
Q4 202267.25M PHP
Q3 202241.49B PHP
Q2 202220.21B PHP
Q1 20228.94B PHP
Q4 202125.01B PHP
Q3 2021-32.61B PHP
Q2 2021-29.74B PHP
Q1 2021-43.76B PHP
Q4 2020-8.86B PHP

Source

Data: public market data feeds.

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