# AAPL - All yfinance Data

```python
import yfinance as yf
import marimo as mo

ticker = yf.Ticker("AAPL")
```

## Price History

```python
history = ticker.history(period="1y", interval="1d")
mo.ui.table(history.tail(30))
```

## Dividends

```python
mo.ui.table(ticker.dividends.tail(20))
```

## Splits

```python
mo.ui.table(ticker.splits)
```

## Income Statement

```python
mo.ui.table(ticker.get_income_stmt())
```

## Balance Sheet

```python
mo.ui.table(ticker.get_balance_sheet())
```

## Cash Flow

```python
mo.ui.table(ticker.get_cashflow())
```

## Analyst Recommendations

```python
mo.ui.table(ticker.recommendations.tail(20))
```

## Analyst Target Prices

```python
mo.ui.table([ticker.target_prices])
```

## Earnings Dates

```python
mo.ui.table(ticker.earnings_dates)
```

## Options Expirations

```python
expirations = ticker.get_options()
f"Available: {expirations}"
```

```python
if expirations:
    chain = ticker.option_chain(expirations[0])
    mo.ui.table(chain.calls)
    mo.ui.table(chain.puts)
```

## Major Holders

```python
mo.ui.table(ticker.major_holders)
```

## Institutional Holders

```python
mo.ui.table(ticker.institutional_holders)
```

## Sustainability / ESG

```python
mo.ui.table([ticker.sustainability])
```

## Calendar / Events

```python
mo.ui.table(ticker.calendar)
```

## Company Info Summary

```python
info = ticker.info
{
    "name": info.get("longName"),
    "sector": info.get("sector"),
    "industry": info.get("industry"),
    "marketCap": info.get("marketCap"),
    "peRatio": info.get("trailingPE"),
    "fwdDividend": info.get("dividendYield"),
    "52wkHigh": info.get("fiftyTwoWeekHigh"),
    "52wkLow": info.get("fiftyTwoWeekLow"),
    "avgTarget": info.get("targetMeanPrice"),
    "recommendation": info.get("recommendationKey"),
}
```