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PHP 7.48 trillionQ2 2026Latest published observation
- History starts
- Q1 2000
- History ends
- Q2 2026
- Frequency
- Quarterly observations
- Unit
- PHP
Download history
Preview
4 observations · Q1 2023 to Q4 2023
| Date or period | Value · PHP | Source |
|---|---|---|
| Q1 2023 | PHP 5.61 trillion | Philippine Statistics Authority (PSA) |
| Q2 2023 | PHP 5.89 trillion | Philippine Statistics Authority (PSA) |
| Q3 2023 | PHP 5.76 trillion | Philippine Statistics Authority (PSA) |
| Q4 2023 | PHP 7.05 trillion | Philippine Statistics Authority (PSA) |
Philippines GDP history by year
Full history →| Year | Average | High | Low | Change |
|---|---|---|---|---|
| 2026 (to date) | PHP 7.21 trillion | PHP 7.48 trillionQ2 2026 | PHP 6.94 trillionQ1 2026 | ▲ +7.9% |
| 2025 | PHP 7.0 trillion | PHP 7.91 trillionQ4 2025 | PHP 6.56 trillionQ3 2025 | ▲ +20.1% |
| 2024 | PHP 6.61 trillion | PHP 7.58 trillionQ4 2024 | PHP 6.12 trillionQ1 2024 | ▲ +23.8% |
| 2023 | PHP 6.08 trillion | PHP 7.05 trillionQ4 2023 | PHP 5.61 trillionQ1 2023 | ▲ +25.6% |
| 2022 | PHP 5.51 trillion | PHP 6.45 trillionQ4 2022 | PHP 4.93 trillionQ1 2022 | ▲ +30.9% |
| 2021 | PHP 4.85 trillion | PHP 5.66 trillionQ4 2021 | PHP 4.37 trillionQ1 2021 | ▲ +29.5% |
| 2020 | PHP 4.49 trillion | PHP 5.16 trillionQ4 2020 | PHP 4.14 trillionQ2 2020 | ▲ +16.0% |
| 2019 | PHP 4.88 trillion | PHP 5.5 trillionQ4 2019 | PHP 4.43 trillionQ1 2019 | ▲ +24.3% |
| 2018 | PHP 4.57 trillion | PHP 5.15 trillionQ4 2018 | PHP 4.1 trillionQ1 2018 | ▲ +25.5% |
| 2017 | PHP 4.14 trillion | PHP 4.64 trillionQ4 2017 | PHP 3.75 trillionQ1 2017 | ▲ +23.9% |
| 2016 | PHP 3.78 trillion | PHP 4.26 trillionQ4 2016 | PHP 3.44 trillionQ1 2016 | ▲ +23.9% |
| 2015 | PHP 3.49 trillion | PHP 3.92 trillionQ4 2015 | PHP 3.2 trillionQ1 2015 | ▲ +22.2% |
| 2014 | PHP 3.3 trillion | PHP 3.7 trillionQ4 2014 | PHP 3.04 trillionQ1 2014 | ▲ +21.9% |
| 2013 | PHP 3.01 trillion | PHP 3.37 trillionQ4 2013 | PHP 2.77 trillionQ1 2013 | ▲ +21.5% |
| 2012 | PHP 2.77 trillion | PHP 3.1 trillionQ4 2012 | PHP 2.54 trillionQ1 2012 | ▲ +21.9% |
| 2011 | PHP 2.54 trillion | PHP 2.82 trillionQ4 2011 | PHP 2.35 trillionQ1 2011 | ▲ +19.9% |
| 2010 | PHP 2.35 trillion | PHP 2.63 trillionQ4 2010 | PHP 2.15 trillionQ1 2010 | ▲ +22.0% |
| 2009 | PHP 2.1 trillion | PHP 2.38 trillionQ4 2009 | PHP 1.9 trillionQ1 2009 | ▲ +25.3% |
| 2008 | PHP 2.01 trillion | PHP 2.24 trillionQ4 2008 | PHP 1.8 trillionQ1 2008 | ▲ +24.5% |
| 2007 | PHP 1.8 trillion | PHP 2.03 trillionQ4 2007 | PHP 1.65 trillionQ1 2007 | ▲ +22.7% |
Show all
| Year | Average | High | Low | Change |
|---|---|---|---|---|
| 2006 | PHP 1.64 trillion | PHP 1.84 trillionQ4 2006 | PHP 1.5 trillionQ1 2006 | ▲ +22.8% |
| 2005 | PHP 1.48 trillion | PHP 1.66 trillionQ4 2005 | PHP 1.35 trillionQ1 2005 | ▲ +22.7% |
| 2004 | PHP 1.33 trillion | PHP 1.49 trillionQ4 2004 | PHP 1.22 trillionQ1 2004 | ▲ +22.1% |
| 2003 | PHP 1.18 trillion | PHP 1.33 trillionQ4 2003 | PHP 1.09 trillionQ1 2003 | ▲ +21.6% |
| 2002 | PHP 1.09 trillion | PHP 1.21 trillionQ4 2002 | PHP 1.01 trillionQ1 2002 | ▲ +20.2% |
| 2001 | PHP 1.01 trillion | PHP 1.11 trillionQ4 2001 | PHP 925.94 billionQ1 2001 | ▲ +20.0% |
| 2000 | PHP 924.39 billion | PHP 1.03 trillionQ4 2000 | PHP 850.4 billionQ1 2000 | ▲ +21.0% |
How to read this
Rows keep their published observation periods. A date selects the observation whose period includes it. Monthly and quarterly figures are not daily prices. Missing periods stay missing. The CSV keeps the period and its end date.
API
GET /v1/economics/PHL/gdp/observations
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Philippines inflation rate historyChoose a year or dateView history →Philippines consumer price index historyChoose a year or dateView history →Philippines unemployment rate historyChoose a year or dateView history →Philippines labour force participation rate historyChoose a year or dateView history →
Common questions
What does the download contain?
The CSV contains the selected published observations, their dates, values, units and source. Values are in PHP.
Why are some dates missing?
This series follows its publication frequency. Gaps are left empty, and no daily values are invented between observations.