WITH successful_charges AS ( SELECT currency, SUM(amount - amount_refunded) AS net_amount -- subtract the refunded amount FROM charges WHERE status = ’succeeded’ AND created >= DATE_ADD(’month’, -3, CURRENT_DATE) GROUP BY currency ), paid_out_of_band_invoices AS ( -- Include paid out of band invoices in addition to charges SELECT currency, SUM(total) AS total_amount FROM invoices WHERE paid_out_of_band = true AND status = ’paid’ AND date >= DATE_ADD(’month’, -3, CURRENT_DATE) GROUP BY currency ), combined_revenue AS ( SELECT currency, SUM(net_amount) AS total_revenue FROM successful_charges GROUP BY currency UNION ALL SELECT currency, SUM(total_amount) AS total_revenue FROM paid_out_of_band_invoices GROUP BY currency ) SELECT currency, SUM( decimalize_amount_no_display(currency, total_revenue, 2) ) AS total_revenue_past_3_months FROM combined_revenue GROUP BY currency

WITH customer_transactions AS ( SELECT c.id AS customer_id, c.address_country AS country, SUM(ch.amount) AS total_amount FROM charges ch JOIN customers c ON ch.customer_id = c.id WHERE ch.status = ’succeeded’ GROUP BY c.id, c.address_country ) SELECT country, AVG(decimalize_amount_no_display(’USD’, total_amount, 2)) AS avg_transaction_value FROM customer_transactions GROUP BY country ORDER BY country;

WITH sparse_mrr_changes AS ( SELECT DATE_TRUNC( ’day’, DATE(local_event_timestamp) ) AS date, currency, SUM(mrr_change) AS mrr_change_on_day FROM subscription_item_change_events GROUP BY 1, 2 ), sparse_mrrs AS ( SELECT date, currency, mrr_change_on_day, SUM(mrr_change_on_day) OVER ( PARTITION BY currency ORDER BY date ASC ) AS mrr FROM sparse_mrr_changes ORDER BY currency, date DESC ), fx AS ( SELECT date - INTERVAL ’1’ DAY AS date, cast( JSON_PARSE(buy_currency_exchange_rates) AS MAP(VARCHAR, DOUBLE) ) AS rate_per_usd FROM exchange_rates_from_usd ), currencies AS ( SELECT DISTINCT(currency) FROM subscription_item_change_events ), date_currency AS ( SELECT date, rate_per_usd, currency FROM fx CROSS JOIN currencies ORDER BY date, currency ), date_currency_mrr AS ( SELECT dpc.date, dpc.currency, dpc.rate_per_usd, mrr_change_on_day, mrr AS _mrr, LAST_VALUE(mrr) IGNORE NULLS OVER ( PARTITION BY dpc.currency ORDER BY dpc.date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) AS mrr FROM date_currency dpc LEFT JOIN sparse_mrrs sm on dpc.date = sm.date AND dpc.currency = sm.currency ), daily_mrrs_pre_fx AS ( SELECT date, currency, rate_per_usd, SUM(mrr) AS mrr FROM date_currency_mrr GROUP BY 1, 2, 3 ORDER BY date DESC ), daily_mrrs AS ( SELECT date, -- change usd below to the currency you want your report in SUM( ROUND( mrr / rate_per_usd [currency] * rate_per_usd [’usd’] ) ) AS total_mrr_in_usd_minor_units FROM daily_mrrs_pre_fx GROUP BY 1 ), months AS ( SELECT date_col - (INTERVAL ’1’ DAY) AS month_end FROM UNNEST( SEQUENCE( CAST(DATE_FORMAT(CURRENT_DATE, ’%Y-%m-01’) AS date) - INTERVAL ’12’ MONTH, CURRENT_DATE, INTERVAL ’1’ MONTH ) ) t (date_col) ), monthly_mrrs AS ( SELECT month_end, -- change usd below to the currency you want your report in DECIMALIZE_AMOUNT_NO_DISPLAY(’usd’, dm.total_mrr_in_usd_minor_units, 2) AS total_mrr_in_usd FROM months m LEFT JOIN daily_mrrs dm ON m.month_end = dm.date ORDER BY month_end DESC ) SELECT * FROM monthly_mrrs

WITH tax_amounts as ( select li.amount, li.amount_tax, li.tax_behavior, li.currency, li.determined_destination_address_state, li.determined_destination_address_country from tax_transaction_line_items li union all select sc.amount, sc.amount_tax, sc.tax_behavior, sc.currency, sc.determined_destination_address_state, sc.determined_destination_address_country from tax_transaction_shipping_costs sc ), tax_liability as ( select determined_destination_address_country as customer_location_country, determined_destination_address_state as customer_location_state, currency as presentment_currency, sum( ( case when tax_behavior = ’inclusive’ then amount - amount_tax else amount end ) ) as total_sales_excluding_tax, sum(amount_tax) as total_tax from tax_amounts group by 1, 2, 3 ) select customer_location_country, customer_location_state, -- Learn more about currencies at Stripe: https://docs.stripe.com/currencies presentment_currency, stringify_amount( presentment_currency, total_sales_excluding_tax, ’.’ ) as total_sales_excluding_tax, stringify_amount(presentment_currency, total_tax, ’.’) as total_tax from tax_liability order by 1, 2, 3

WITH outstanding_invoices AS ( SELECT invoices.customer_id, SUM(invoices.amount_due) AS total_outstanding FROM invoices WHERE invoices.status = ’open’ AND invoices.due_date > CURRENT_DATE GROUP BY invoices.customer_id ), ranked_customers AS ( SELECT customer_id, total_outstanding, ROW_NUMBER() OVER (ORDER BY total_outstanding DESC) AS rank FROM outstanding_invoices ) SELECT rc.customer_id, rc.total_outstanding / 100.0 AS total_outstanding_amount, c.email FROM ranked_customers rc JOIN customers c ON rc.customer_id = c.id WHERE rc.rank <= 10 ORDER BY rc.rank;

WITH customer_purchases AS ( SELECT c.id AS customer_id, COUNT(ch.id) AS purchase_count FROM customers c JOIN charges ch ON c.id = ch.customer_id WHERE ch.status = ’succeeded’ GROUP BY c.id ), ranked_customers AS ( SELECT customer_id, purchase_count, RANK() OVER (ORDER BY purchase_count DESC) AS purchase_rank FROM customer_purchases

WITH sparse_mrr_changes AS ( SELECT DATE_TRUNC( ’day’, DATE(local_event_timestamp) ) AS date, currency, product_id, SUM(mrr_change) AS mrr_change_on_day FROM subscription_item_change_events GROUP BY 1, 2, 3 ), sparse_mrrs AS ( SELECT date, currency, product_id, mrr_change_on_day, SUM(mrr_change_on_day) OVER ( PARTITION BY currency, product_id ORDER BY date ASC ) AS mrr FROM sparse_mrr_changes ORDER BY product_id, currency, date DESC ), fx AS ( SELECT date - INTERVAL ’1’ DAY AS date, CAST( JSON_PARSE(buy_currency_exchange_rates) as MAP(VARCHAR, DOUBLE) ) AS rate_per_usd FROM exchange_rates_from_usd ), segments AS ( SELECT DISTINCT(product_id) FROM subscription_item_change_events ), currencies AS ( SELECT DISTINCT(currency) FROM subscription_item_change_events ), date_segment_currency AS ( SELECT date, rate_per_usd, product_id, currency FROM fx CROSS JOIN segments CROSS JOIN currencies ORDER BY date, currency, product_id ), date_segment_currency_mrr AS ( SELECT dsc.date, dsc.product_id, dsc.currency, dsc.rate_per_usd, mrr_change_on_day, mrr AS _mrr, LAST_VALUE(mrr) IGNORE NULLS OVER ( PARTITION BY dsc.product_id, dsc.currency ORDER BY dsc.date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW ) AS mrr FROM date_segment_currency DSC LEFT JOIN sparse_mrrs sm ON dsc.date = sm.date AND dsc.product_id = sm.product_id AND dsc.currency = sm.currency ), daily_mrrs_pre_fx AS ( SELECT date, product_id, currency, rate_per_usd, SUM(mrr) as mrr FROM date_segment_currency_mrr GROUP BY 1, 2, 3, 4 ), daily_mrrs AS ( SELECT date, product_id, -- change usd below to the currency you want your report in SUM(ROUND(mrr / rate_per_usd [currency] * rate_per_usd [’usd’])) as total_mrr_in_usd_minor_units FROM daily_mrrs_pre_fx GROUP BY 1, 2 ), months AS ( SELECT date_col - (INTERVAL ’1’ DAY) AS month_end FROM UNNEST( SEQUENCE( CAST(DATE_FORMAT(CURRENT_DATE, ’%Y-%m-01’) AS date) - INTERVAL ’12’ MONTH, CURRENT_DATE, INTERVAL ’1’ MONTH ) ) t (date_col) ), monthly_mrrs AS ( SELECT month_end, dm.product_id, -- change usd below to the currency you want your report in DECIMALIZE_AMOUNT_NO_DISPLAY(’usd’, dm.total_mrr_in_usd_minor_units, 2) AS total_mrr_in_usd FROM months m LEFT JOIN daily_mrrs dm ON m.month_end = dm.date ORDER BY 1 DESC, 3 DESC, 2 ) SELECT p.name, * FROM monthly_mrrs mrr JOIN products p ON mrr.product_id = p.id

WITH subscription_starts AS ( SELECT s.customer_id, p.id AS product_id, COUNT(*) AS subscription_count FROM subscriptions s JOIN subscription_items si ON s.id = si.subscription_id JOIN prices pr ON si.price_id = pr.id JOIN products p ON pr.product_id = p.id WHERE s.status = ’active’ AND s.created >= DATE_ADD(’year’, -1, CURRENT_DATE) GROUP BY s.customer_id, p.id ), subscription_cancellations AS ( SELECT s.customer_id, p.id AS product_id, COUNT(*) AS cancellation_count FROM subscriptions s JOIN subscription_items si ON s.id = si.subscription_id JOIN prices pr ON si.price_id = pr.id JOIN products p ON pr.product_id = p.id WHERE s.status IN (’canceled’, ’unpaid’) AND s.canceled_at >= DATE_ADD(’year’, -1, CURRENT_DATE) GROUP BY s.customer_id, p.id ), product_churn AS ( SELECT ss.product_id, COALESCE(sc.cancellation_count, 0) AS cancellations, ss.subscription_count AS starts FROM subscription_starts ss LEFT JOIN subscription_cancellations sc ON ss.customer_id = sc.customer_id AND ss.product_id = sc.product_id ), churn_rate_by_product AS ( SELECT p.name AS product_name, SUM(pc.cancellations) AS total_cancellations, SUM(pc.starts) AS total_starts, ROUND(SUM(pc.cancellations) / SUM(pc.starts), 4) AS churn_rate FROM product_churn pc JOIN products p ON pc.product_id = p.id GROUP BY p.name ) SELECT product_name, total_cancellations, total_starts, churn_rate FROM churn_rate_by_product ORDER BY churn_rate DESC;

WITH sales_per_product AS ( SELECT YEAR(c.created) AS sales_year, pr.id AS product_id, COUNT(*) AS total_sales FROM charges c JOIN invoice_line_items ili ON c.invoice_id = ili.invoice_id JOIN prices p ON ili.price_id = p.id JOIN products pr ON p.product_id = pr.id WHERE c.status = ’succeeded’ GROUP BY 1, 2 ), ranked_products AS ( SELECT spp.sales_year, spp.product_id, p.name AS product_name, spp.total_sales, RANK() OVER ( PARTITION BY spp.sales_year ORDER BY spp.total_sales DESC ) AS rank FROM sales_per_product spp JOIN products p ON spp.product_id = p.id ) SELECT sales_year, product_id, product_name, total_sales FROM ranked_products WHERE rank = 1 ORDER BY sales_year ASC;

WITH discount_transactions AS ( SELECT c.id AS charge_id, c.amount, c.currency, ’With Discount’ AS discount_status FROM charges c JOIN invoice_line_items ili ON c.invoice_id = ili.invoice_id JOIN invoice_line_item_discount_amounts ilida ON ili.id = ilida.invoice_line_item_id WHERE c.status = ’succeeded’ GROUP BY c.id, c.amount, c.currency ), no_discount_transactions AS ( SELECT c.id AS charge_id, c.amount, c.currency, ’Without Discount’ AS discount_status FROM charges c LEFT JOIN invoice_line_items ili ON c.invoice_id = ili.invoice_id LEFT JOIN invoice_line_item_discount_amounts ilida ON ili.id = ilida.invoice_line_item_id WHERE c.status = ’succeeded’ AND ilida.invoice_line_item_id IS NULL GROUP BY c.id, c.amount, c.currency ), unioned AS ( SELECT * FROM discount_transactions UNION ALL SELECT * FROM no_discount_transactions ), aggregated AS ( SELECT discount_status, currency, AVG(amount) AS avg_order_value FROM unioned GROUP BY discount_status, currency ) SELECT discount_status, currency, decimalize_amount_no_display(currency, avg_order_value, 2) AS avg_order_value FROM aggregated ORDER BY discount_status DESC, currency ASC

SELECT COUNT(id) AS total_disputes_today FROM disputes WHERE DATE(created) = CURRENT_DATE;

WITH fraudulent_transactions AS ( SELECT charges.payment_method_type, COUNT(*) AS total_fraudulent_transactions, SUM(charges.amount) AS total_fraudulent_amount FROM charges INNER JOIN disputes ON charges.id = disputes.charge_id WHERE disputes.reason = ’fraudulent’ GROUP BY charges.payment_method_type ) SELECT payment_method_type, total_fraudulent_transactions, SUM(total_fraudulent_amount) / 100.0 AS total_fraudulent_amount_usd FROM fraudulent_transactions GROUP BY payment_method_type, total_fraudulent_transactions ORDER BY total_fraudulent_transactions DESC

WITH cart_sessions AS ( SELECT COUNT(*) AS total_sessions FROM checkout_sessions WHERE created >= DATE_TRUNC(’month’, CURRENT_DATE) AND created < DATE_ADD(’month’, 1, DATE_TRUNC(’month’, CURRENT_DATE)) ), successful_transactions AS ( SELECT