# Verify Apple's FY2025 10-K figures with exact XBRL math

**Use case:** 

Re-checks Apple's fiscal 2025 annual report on SEC XBRL data with exact integer arithmetic: the balance sheet identity, subtotal footing, statement tie-outs and restated prior-period figures. Change the ticker, year and period to check any US filer before quoting a number.

## Input

```json
{
  "ticker": "AAPL",
  "fiscal_year": 2025,
  "period": "FY"
}
```

## Output

```json
{
  "agent": {
    "label": "Agent",
    "format": "text"
  },
  "priceUsd": {
    "label": "Price (USD)",
    "format": "number"
  },
  "data": {
    "label": "Result",
    "format": "object"
  },
  "_provenance": {
    "label": "Provenance",
    "format": "object"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The SEC Filing Integrity Check: XBRL Footing, Tie-Outs, Revisions Actor is ready to run with the inputs already set for "Verify Apple's FY2025 10-K figures with exact XBRL math". [Sign up or log in](https://console.apify.com/create-task-from-example/LPJ66BlOEj2P2Hhi9) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Verify Apple's FY2025 10-K figures with exact XBRL math" task

The SEC Filing Integrity Check: XBRL Footing, Tie-Outs, Revisions Actor will start running based on the input automatically. You can also change all the input fields, like ticker, fiscal_year, and more, to match your specific use case.

### 3. Receive the "Verify Apple's FY2025 10-K figures with exact XBRL math" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as agent, price (usd), result, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Verify Apple's FY2025 10-K figures with exact XBRL math" task via API](https://apify.com/davidcondrey/wl-filing-integrity-check.md).

## FAQ

### Where does the 10-K integrity task get its data?

From the SEC's XBRL company facts for the ticker, fiscal year and period you choose.

### Does the 10-K integrity task use a model to do the math?

No. All sums and tie-outs use exact integer arithmetic; nothing is estimated.

## About this Actor

This example demonstrates how to use [SEC Filing Integrity Check: XBRL Footing, Tie-Outs, Revisions](https://apify.com/davidcondrey/wl-filing-integrity-check.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/davidcondrey/wl-filing-integrity-check.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/davidcondrey/wl-filing-integrity-check.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).