import os
from datetime import date
from artemis import Artemis

client = Artemis()
response = client.equity.fetch_financials(
    api_key=os.environ["ARTEMIS_API_KEY"],
    symbols="eq-nvda",
    granularity="QUARTER",
    start_date=date(2024, 1, 1),
    end_date=date(2025, 12, 31),
)

# Print the latest reported quarter for each P&L line item:
metrics = response.data.symbols["eq-nvda"]
for name in ["TOTAL_REVENUE", "NET_INCOME", "EBITDA", "FREE_CASH_FLOW", "DILUTED_EPS"]:
    series = metrics.get(name) or []
    if series:
        latest = series[-1]
        print(f"{name:20} {latest.date}  {latest.val:,.2f}")

{
  "data": {
    "symbols": {
      "eq-nvda": {
        "TOTAL_REVENUE": [
          {
            "date": "2024-04-28",
            "val": 26044000000
          },
          {
            "date": "2024-07-28",
            "val": 30040000000
          }
        ],
        "NET_INCOME": [
          {
            "date": "2024-04-28",
            "val": 14881000000
          },
          {
            "date": "2024-07-28",
            "val": 16599000000
          }
        ],
        "EBITDA": [
          {
            "date": "2024-04-28",
            "val": 17319000000
          },
          {
            "date": "2024-07-28",
            "val": 19310000000
          }
        ],
        "BASIC_EPS": [
          {
            "date": "2024-04-28",
            "val": 0.6
          },
          {
            "date": "2024-07-28",
            "val": 0.68
          }
        ],
        "DILUTED_EPS": [
          {
            "date": "2024-04-28",
            "val": 0.6
          },
          {
            "date": "2024-07-28",
            "val": 0.67
          }
        ]
      }
    }
  }
}