Every example and amount on this page is illustrative. It shows the method and is not a benchmark, a quote or advice.
What “Shopify profit Singapore price” actually measures
“Shopify profit Singapore price” should be compared as the profit left from selling products in Singapore, not as Shopify sales or the monthly price of a Shopify plan. The useful figure starts with revenue from orders that were actually delivered. Returned and cancelled orders should not remain in revenue, and refunds should be shown against the revenue they reverse. This is the basis of Shopify profit analytics, rather than a revenue-only dashboard.
For a GST-registered merchant, customer GST collected is not operating revenue: it is money held for GST obligations. Recoverable GST on business purchases should likewise not inflate the expense. Costs with GST that cannot be recovered belong in the cost base. If the business is not GST-registered, the relevant comparison is usually the amount actually paid and received, including any GST charged by suppliers. Keep the treatment consistent across every period.
The profit figure needs to include the costs required to turn an order into cash. That means product cost, packaging and fulfilment, delivery, payment-processing fees, refunds and return handling, advertising spend, Shopify and other software subscriptions, and other recurring operating costs allocated to the store. A product can have a healthy selling margin but produce little contribution after advertising and fulfilment.
Use one trading currency for the comparison and do not mix Singapore-dollar revenue with foreign-currency costs without conversion. Separate gross profit, which reflects product economics, from net profit, which also absorbs marketing and operating costs. Ecommerce profit analytics should therefore show profitability by product and collection, not only the store total, while customer-level profitability can reveal whether repeat purchases change the economics.
The formula, stated plainly
Use one currency and one period throughout. In Singapore, a practical contribution-profit formula in SGD is: contribution profit = realised sales revenue − product cost − variable fulfilment costs − payment-platform fees − Shopify transaction fees − advertising spend. Product cost should reflect the cost of the units sold, not the total value of inventory purchased. Include shipping, pick-and-pack, packaging or commissions when they rise with each order.
Payment processing belongs above contribution profit because it is incurred when a customer pays. The same applies to a Shopify transaction charge when it is linked to the order. A fixed Shopify plan subscription is different: treat it as operating overhead and subtract it when calculating net profit, alongside fixed app subscriptions, salaries, rent and other business costs. If an app charges per order, classify that portion as variable instead. This separation makes the result useful for product and advertising decisions; profit analytics software can keep those layers visible rather than reducing everything to sales.
The terms are not interchangeable. Sales are the revenue collected from orders. Gross profit is sales minus product cost. Contribution profit is what remains after the costs directly required to sell and acquire those orders, including payment, Shopify transaction and advertising costs. Net profit is contribution profit minus operating overhead and any other costs included in your chosen business view. A Shopify profit analytics report should show each layer, not just one headline number.
- Margin = profit ÷ sales × 100. A S$30 profit on S$100 of sales is a 30% margin.
- Markup = profit ÷ cost × 100. That same S$30 profit on S$70 of cost is a 42.9% markup.
- Use the same GST treatment in every input. If sales are recorded excluding GST, record costs on the same basis; do not compare GST-inclusive revenue with GST-exclusive costs.
| Measure | Basic calculation | What it answers |
|---|---|---|
| Sales | Revenue from orders | How much did customers buy? |
| Gross profit | Sales − product cost | Is the product priced above its unit cost? |
| Contribution profit | Gross profit − variable selling costs | What remains after selling and advertising? |
| Net profit | Contribution profit − fixed overhead and other included costs | What did the business retain overall? |
A worked Singapore example with real numbers
Assume a Singapore store had 250 checkout orders in one month. Ten were cancelled or returned, so the calculation uses the 240 delivered orders only. All figures below are illustrative SGD assumptions, not market benchmarks.
The mistakes that make the number wrong
A profit number can look precise while being economically wrong. The first common error is treating GST collected from customers as revenue. If an order is priced at SGD 107 including 9% GST, the sales revenue is SGD 98.17 and the balance is tax collected, not money available to cover product or advertising costs. Use the same GST treatment across every order and cost; otherwise margins are overstated.
The second error is using checkout value instead of realised revenue. Discounts reduce what the customer actually paid, while refunds and cancellations reduce what the store kept. A SGD 120 product sold with a SGD 20 discount is not SGD 120 of revenue. If it is later refunded, it should not remain in the period's revenue at all. Return rate and refund value should be checked against revenue, rather than hidden in a later accounting adjustment.
Timing can also produce a misleading result. Cash accounting records money when it reaches or leaves the bank. Accrual-style analysis assigns sales and costs to the period in which the order was delivered or the cost was incurred. Mixing the two—for example, counting January orders when paid but January advertising and February fulfilment invoices—can make one month look unusually profitable and the next one unusually weak. Choose a basis and apply it consistently.
Do not stop at product cost. Pick-and-pack charges, postage, packaging, storage, payment fees, platform charges and advertising can determine whether a sale contributes anything after acquisition. Omitting fulfilment is especially misleading for bulky, low-priced or high-return products. Omitting ad spend makes paid growth look like organic demand. A Shopify dashboard can show sales activity without giving this complete profitability view.
Finally, a blended margin can conceal channel and product problems. Suppose organic orders produce SGD 30 contribution each while paid orders produce SGD 8 after advertising. A single store-wide average may look acceptable even if paid acquisition is consuming most of the growth. Compare contribution after advertising by product, collection and channel, and keep MER separate from attributed ROAS because they answer different questions. ORVX connects Shopify orders with advertising spend, reports product- and collection-level profitability, and keeps the merchant's trading currency consistent. It also calculates realised revenue from delivered orders, excluding cancelled and returned orders.
What to look for in a profit calculator
A useful Shopify profit analytics tool should make its accounting choices visible before you connect your store. For Singapore reporting, check that it keeps trading figures in SGD, separates GST collected from revenue, and lets you see how tax is treated in costs and margins. A currency symbol alone is not enough if orders, ad spend or fees are converted at different rates.
Check how much data arrives automatically. The tool should import Shopify orders, refunds and product information, then bring payment, transaction, shipping and advertising fees into the same period without requiring a spreadsheet upload every month. It should show the source and mapping for each fee. If a charge cannot be imported, it should be possible to enter it, label it and identify it as an estimate rather than silently excluding it.
Product-level costing is essential. Look for a cost model that supports different costs by product or variant, rather than dividing total costs across revenue. You should be able to inspect gross profit, contribution after advertising and margin by product and collection. That is the difference between finding that a store made S$20,000 in sales and finding that one product generated S$12 per delivered order while another lost money after ads and fulfilment.
Channel allocation also needs a clear rule. A good calculator identifies whether a sale came from the Shopify store, another sales channel or a campaign, and shows where shared advertising spend was assigned. It should preserve an unallocated category when attribution is uncertain instead of forcing every dollar into a channel. For paid media, separate MER from attributed ROAS so blended business performance is not confused with platform attribution.
Finally, test reporting controls before comparing the subscription price. Confirm that historical months remain available, returns and refunds update prior-period views appropriately, and each report shows its last sync time, coverage period and any missing data. Pricing should state the monthly fee, user or order limits, integrations, historical-data limits, taxes and any setup or export charges. A short trial can demonstrate navigation; it cannot prove the numbers are complete. Ask for a sample calculation using your own SGD orders, product costs and ad spend, and compare the result with source records.
| Area | What to verify |
|---|---|
| Currency and GST | SGD reporting, separate GST treatment, and consistent conversion rules |
| Fees | Automatic imports, source labels, mapping controls, and a visible treatment for missing fees |
| Costs | Variant or product-level costs, with gross profit and margin by product and collection |
| Channels | Sales-channel allocation, shared ad-spend rules, and an unallocated category |
| History and freshness | Prior-period reporting, refund handling, sync timestamps, and data-coverage warnings |
| Pricing | Plan fee, limits, integrations, historical access, taxes, setup costs and exports |
What to do with the answer
Use the calculated profit as a decision measure, not a score to admire. Compare products, collections and acquisition sources on contribution after advertising, then ask which change could improve the next period without weakening the economics elsewhere. A profit analytics dashboard should make that comparison available at product and collection level.
For pricing, start with the item’s contribution per delivered order. If a product sells at S$50 and leaves S$12 after product, payment, fulfilment and advertising costs, a S$3 discount removes 25% of its contribution. That may be acceptable only if the test produces enough additional delivered orders to compensate. ORVX can report where a price experiment is worth running; it cannot estimate price elasticity or predict how demand will respond.
For advertising, separate channel efficiency from store-wide efficiency. Attributed ROAS can credit an ad platform for tracked sales, while MER compares total advertising spend with store revenue. Review both alongside contribution after advertising: a campaign with strong ROAS can still be unprofitable if product margin, returns or fulfilment costs are high. Scale, reduce, fix economics, test or stop should follow the stated numbers and confidence, not revenue alone.
Use the same view to narrow the range and fix fulfilment. Keep products that generate contribution and repeat behaviour; investigate low-profit items with high return rates, weak repeat purchase or excess stock. Inventory position, dead stock and remaining stock value show where cash is tied up, while return rate by units and refund value indicate whether fulfilment or product expectations need attention.
Judge analytics software by a break-even threshold: the monthly incremental contribution it helps you identify, protect or recover must exceed its monthly cost. If the tool costs S$100, one defensible decision should reveal at least S$100 of monthly improvement, such as stopping S$140 of unprofitable spend or correcting a S$120 margin leak. Use that as a threshold to assess against your own numbers, rather than an assumed result. Ecommerce profit analytics is useful when it shortens this decision cycle.
A useful Shopify profit figure is not the sales total minus product cost; it is the amount left after every variable cost and relevant operating expense is assigned consistently in SGD. Calculate it with GST, fees, discounts, refunds, fulfilment and advertising handled explicitly, then compare the insight gained with the price of the tool. The right system should make that calculation repeatable enough to guide pricing and budget decisions every month.
General information only: tax, duty and import rules change and depend on your situation, so check with an accountant or the official source before acting.