Laravel Group By and Sum total value of other column

Stefan Bogdanescu

Founder & Senior Architect · 2026-06-29

Laravel Company

Mastering Group By and Sum Total Values in Laravel Eloquent

As a developer working with relational databases, one of the most frequent operations we perform is grouping data to derive meaningful summaries. In Laravel and Eloquent, while methods like groupBy() allow you to segment your results, achieving true aggregation—like summing values within those groups—requires combining these methods correctly with aggregate functions.

This post will walk you through the exact steps to group records by year and calculate the total sum of the amount for each year, solving the common challenge presented in the scenario.

The Challenge: Grouping vs. Aggregation

You have a table structure like this:

id | date       | amount
========================
1  | 2015-01-26 | 1000
2  | 2015-02-26 | 100
3  | 2014-06-26 | 10

Your initial attempt using groupBy() successfully segments the data based on the year, but it stops short of calculating the required sum. The groupBy() method only dictates how the rows should be bundled; it doesn't inherently perform mathematical operations like summing. To get the total amount for each group, we need to explicitly tell Eloquent what calculation to perform on those groups.

The Solution: Combining Grouping and Aggregation

The key to solving this lies in using the select() method alongside groupBy(), ensuring that you use an aggregate function (like sum()) in your selection list. This is a fundamental pattern when working with the Laravel Query Builder or Eloquent.

Step 1: Extract the Grouping Key

First, we must define how we are grouping. Since you want to group by year, and assuming your date column is a standard date format (or a Carbon instance), we need to extract just the year for grouping. The initial approach using Carbon was spot on:

use Carbon\Carbon;

// Grouping logic: Extract the year from the date
$groupByYear = function ($date) {
    return Carbon::parse($date)->year; // Simpler way to get the year
};

Step 2: Applying Aggregation

Now, we apply this grouping and instruct Eloquent to sum the amount column within those newly formed groups.

Here is the complete implementation using an Eloquent model (let's assume your model is named Fee):

use App\Models\Fee;
use Carbon\Carbon;

$results = Fee::select(
        DB::raw('YEAR(date) as year'), // Select the year for grouping
        DB::raw('SUM(amount) as total_amount') // Calculate the sum of the amount
    )
    ->groupBy('year')
    ->orderBy('year', 'DESC')
    ->get();

Explanation of the Code:

  1. select(...): This is where we define what data we want to retrieve. We use DB::raw() here because standard Eloquent methods don't natively support complex mathematical aggregations directly within a simple select().
  2. YEAR(date) as year: We use the database-specific function (YEAR()) to extract the year from the date column and alias it as year. This acts as our grouping key.
  3. SUM(amount) as total_amount: This is the aggregation function that calculates the sum of all amount values for every unique group defined by the year.
  4. groupBy('year'): We then apply the grouping based on the calculated year column.

This approach leverages the power of your underlying SQL database to perform the heavy lifting, which is generally more efficient than fetching all records and summing them in PHP memory. This pattern of using aggregate functions within a groupBy() context is crucial for complex data analysis in Laravel applications. For more advanced querying patterns, exploring the features of the Laravel Eloquent documentation will provide deeper insights into query building.

Conclusion

To successfully group records and calculate aggregate sums in Laravel, remember that grouping and aggregation are two distinct operations. You must combine the groupBy() method with an aggregate function (like sum()) within your select() statement. By utilizing database-level functions like YEAR() and SUM(), you ensure that your queries are both readable and highly performant. Mastering this combination is a vital skill for any senior developer working on data-intensive applications built with Laravel.