Looker Studio Function: Looker Studio YEAR Complete Guide with Examples : Use case
Category: DATE function
The YEAR() function in Looker Studio extracts the year component from a given date field. It is a powerful tool for organizing and analyzing data at an annual level, helping businesses compare year-over-year performance, track long-term trends, aggregate yearly metrics, and conduct historical analysis for data-driven decisions.
Purpose of the Year Function
1. Annual Reporting & Historical Comparison
The YEAR() function simplifies time-based analysis by grouping metrics by year, supporting YoY (Year-over-Year) performance comparisons.
2. Trend & Forecast Analysis
It helps analysts visualize data across multiple years to identify growth patterns, market seasonality, and performance cycles.
3. Efficient Data Segmentation
Users can segment customers, revenue, or activity based on the year of engagement, purchase, signup, or event logs.
Type of Calculation & Practical Use Cases
✅ Year-over-Year Comparison
Analyze growth, performance decline, and conversion trends from one year to another.
✅Annual Revenue & Budget Reporting
Aggregate total sales, expenses, or KPIs within a specific year.
✅ Historical Data Breakdown
Create dashboards that compare multi-year summaries for management reviews.
✅ Cohort & Customer Lifecycle Segmentation
Group customers based on subscription year, purchase year, or signup year.
YEAR(date_expression)
| Parameter | Type | Description |
|---|---|---|
| date_expression | Date | The date field from which the year value will be extracted |
How Does the Year Function Work?
The YEAR() function reads any valid date value and returns a four-digit year. For example, a date in June 2025 will return 2025.
This is useful when grouping large datasets by annual buckets in charts, scorecards, and pivot tables.
When should use the Year Function Work?
Use YEAR() when your analysis requires:
Annual sales comparison
Multi-year trend dashboards
Forecasting & budget planning
Year-based data segmentation
Filtering data by selected year
It extracts the four-digit year from a date, supporting year-based grouping, trend analysis, and YoY comparisons.
Not directly — convert to date format using PARSE_DATE() or CAST() first.
Yes — it creates easy annual comparisons for performance tracking.
Yes — combining YEAR() with TODAY() allows real-time date-based control.
No. It only extracts the year component from an already valid date value.
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