Philippines Changes In Inventories
Philippines · Quarterly series · EC-PH-IC
Latest, Q3 2026
37.00B PHP
-16.6% from Q2 2026
Forecast
Forecast for Q3 2027: 26.34B PHP, with an 80% interval of -38.59B PHP to 92.49B PHP.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q4 2026 | 31.50B PHP | -3.54B PHP | 66.91B PHP |
| Q1 2027 | 25.57B PHP | -11.47B PHP | 63.52B PHP |
| Q2 2027 | 23.70B PHP | -31.06B PHP | 79.81B PHP |
| Q3 2027 | 26.34B PHP | -38.59B PHP | 92.49B PHP |
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
- +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.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- The 80% band held more than expected outcomes; interpret its width with care.
- Evaluated 2026-11-15 against the cached history through 2026-09-01.
- 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
It is above 90% of the 39 earlier readings since Q4 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q3 2026 | 37.00B PHP |
| Q2 2026 | 44.34B PHP |
| Q1 2026 | -6.55B PHP |
| Q4 2025 | -23.40B PHP |
| Q3 2025 | -21.18B PHP |
| Q2 2025 | -29.93B PHP |
| Q1 2025 | 2.67B PHP |
| Q4 2024 | 16.76B PHP |
| Q3 2024 | 15.07B PHP |
| Q2 2024 | -4.65B PHP |
| Q1 2024 | 11.39B PHP |
| Q4 2023 | 17.41B PHP |
| Q3 2023 | -46.66B PHP |
| Q2 2023 | -27.79B PHP |
| Q1 2023 | 28.80B PHP |
| Q4 2022 | 67.25M PHP |
| Q3 2022 | 41.49B PHP |
| Q2 2022 | 20.21B PHP |
| Q1 2022 | 8.94B PHP |
| Q4 2021 | 25.01B 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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Also stored for Philippines
- Philippines Balance Of Trade
- Philippines Bank Lending Rate
- Philippines Banks Balance Sheet
- Philippines Building Permits
- Philippines Business Confidence Index
- Philippines CO2 Emissions
- Philippines CPI Housing Utilities
- Philippines CPI Transportation
- Philippines Capacity Utilization
- Philippines Capital Flows
- Philippines Car Registrations
- Philippines Cash Reserve Ratio