FINANCE

Build BigQuery Deferral Schedules from New Stripe Contracts

When a new Stripe subscription or invoice closes, this generates a straight-line revenue-recognition deferral schedule and writes the month-by-month rows into BigQuery so finance…

CategoryFinance
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerStripe invoice paid or subscription createdStripeStripe
  • LogicValidate service period and amount; skip one-time charges
  • ActionCompute straight-line monthly recognition amounts
  • ActionInsert one deferral row per month into BigQueryGoogle BigQueryBigQuery
  • OutputLog schedule to Airtable registerAirtableAirtable

What it does

Turns every closed Stripe contract into an auditable deferral schedule. It reads the contract amount and service period, spreads the revenue evenly across the months between start and end, and writes one recognition row per month into a BigQuery table that drives your ASC 606 reporting.

When to use it

Use this when you sell term subscriptions or prepaid annual deals through Stripe and need defensible monthly revenue recognition instead of recognizing the full invoice on the booking date. It removes the manual spreadsheet step finance does after every signed deal.

How it works

  1. 1A Stripe webhook fires when an invoice is paid or a subscription is created.
  2. 2A logic step confirms the contract has a start and end date and a non-zero amount, skipping one-time charges.
  3. 3An action computes the straight-line monthly amounts, handling partial first and last months by day count.
  4. 4A BigQuery action inserts one deferral row per recognition month, keyed by contract ID for idempotency.
  5. 5The final output writes a confirmation summary back to an Airtable register so finance has a human-readable index of every schedule built.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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