Efficient way to get data for each date range intervals using single query | MongoDB

I have collections about products and purchases. I need to get statistics for each time interval. I need following: | Name | quantity (date 1 range)| quantity (date 2 range)| |:---- |:------:| -----:| |Name One | 500 | 400 | |Name Two | 251 | 450 | |Name Three | 444 | 600 | I have following collections: //Products { name: { type: String, required: [true, "The prodcut name is required"], unique: true, } price: { type: mongoose.Types.Decimal128, default: "0.0", }, } //Orders model scheme { product: { type: Schema.Types.ObjectId, ref: "Products", }, price: { type: mongoose.Types.Decimal128, default: "0.0", }, quantity: { type: Number, default: 0, }, orderDate: { type: Date, default: Date.now, //new Date(), }, } And I have the following aggregate function: OrdersModel.aggregate( [ { $match: { orderDate: { $gte: new Date( sdt ), $lte: new Date( edt ) } } }, { $group: { _id: "$product_name", //{ name: "$name"}, totalQuantity: { $sum: "$quantity" }, } }, { $project: { _id: 1, qty: "$totalQuantity", //... } } ] ) This query is working, but only for one time interval. But I need to get results for multiple time intervals. I'm new to NoSQL, I've tried retrieving data from one or more-time intervals, but I couldn't find out how to achieve this. How can I solve this problem? I need to get the sales total Quantity of a product at different time intervals. 2010-01-01 to 2012-01-01 2015-01-01 to 2017-01-01 ... Time intervals can be dynamic. There can be a minimum of 1 and a maximum of 4 time intervals.