Calculate Monthly Revenue

Medium ⏱ 12 min 58% acceptance ★★★★★ 4.8

Compute total monthly revenue from delivered orders. Return the month as YYYY-MM and the summed amount as revenue, ordered chronologically. Only include orders with status = 'Delivered'.

Database Schema

Use these exact table and column names in your query. Open Schema & Data under the editor to preview sample rows.

customers 5 columns

customer_idINTEGERnameTEXTcityTEXTcountryTEXTsignup_dateDATE

products 4 columns

product_idINTEGERproduct_nameTEXTcategoryTEXTpriceREAL

orders 5 columns

order_idINTEGERcustomer_idINTEGERorder_dateDATEamountREALstatusTEXT

order_items 4 columns

order_idINTEGERproduct_idINTEGERquantityINTEGERunit_priceREAL

payments 5 columns

payment_idINTEGERorder_idINTEGERmethodTEXTamountREALpaid_dateDATE

employees 6 columns

employee_idINTEGERnameTEXTdepartmentTEXTmanager_idINTEGERsalaryREALhire_dateDATE

Examples

Example 1

Input

orders table

Output

month | revenue
2024-01 | 7097
2024-03 | 5597
...

Explanation

Group orders by the year-month of order_date and sum the amount.

Constraints

Month format must be YYYY-MM.
Only Delivered orders.
Order chronologically.

Topics

GROUP BYDateAggregation

Companies

NetflixPayPalRazorpay

Hints

Hint 1

SQLite's strftime('%Y-%m', order_date) extracts the month.

Hint 2

GROUP BY that expression.

Hint 3

SUM(amount) as revenue, ORDER BY month.

Reveal Official Solution

Try it yourself first — you learn more from a struggle than a spoiler.

SELECT strftime('%Y-%m', order_date) AS month, SUM(amount) AS revenue
FROM orders
WHERE status = 'Delivered'
GROUP BY month
ORDER BY month;

Related Problems

← Customers and Their Order Counts Second Highest Salary →

Press Run (or Ctrl+Enter) to execute your query against the sample database.

customers5 cols

customer_idINTEGER
nameTEXT
cityTEXT
countryTEXT
signup_dateDATE

customer_id	name	city	country	signup_date
101	Rahul	Delhi	India	2023-01-12
102	Aman	Mumbai	India	2023-02-03
103	Sara	Bengaluru	India	2023-02-20

products4 cols

product_idINTEGER
product_nameTEXT
categoryTEXT
priceREAL

product_id	product_name	category	price
1	Wireless Mouse	Electronics	799
2	Office Chair	Furniture	5499
3	Notebook	Stationery	149

orders5 cols

order_idINTEGER
customer_idINTEGER
order_dateDATE
amountREAL
statusTEXT

order_id	customer_id	order_date	amount	status
1001	101	2024-01-05	1598	Delivered
1002	102	2024-01-11	5499	Delivered
1003	101	2024-02-02	149	Cancelled

order_items4 cols

order_idINTEGER
product_idINTEGER
quantityINTEGER
unit_priceREAL

order_id	product_id	quantity	unit_price
1001	1	2	799
1002	2	1	5499
1004	3	5	149

payments5 cols

payment_idINTEGER
order_idINTEGER
methodTEXT
amountREAL
paid_dateDATE

payment_id	order_id	method	amount	paid_date
5001	1001	UPI	1598	2024-01-05
5002	1002	Card	5499	2024-01-11
5003	1005	UPI	999	2024-03-02

employees6 cols

employee_idINTEGER
nameTEXT
departmentTEXT
manager_idINTEGER
salaryREAL
hire_dateDATE

employee_id	name	department	manager_id	salary
1	Meera	Analytics	NULL	180000
2	Rohit	Analytics	1	95000
3	Neha	Engineering	1	120000

Loading expected output…