> ## Documentation Index
> Fetch the complete documentation index at: https://fruitstand.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Snowflake Earnings Call Transcripts Documentation

> Verbatim quarterly earnings call transcripts for 4,500+ publicly traded companies, 2005 to present, analytics‑ready in Snowflake.

## Overview

Access comprehensive earnings call transcripts spanning nearly two decades of corporate communications. This dataset provides investors, analysts, and researchers with immediate access to verbatim transcripts from quarterly earnings calls across 4,500+ publicly traded companies from 2005 to present.

Data is standardized into an analytic‑ready table with automated pipeline quality checks (file load, row parity, error, merge and lineage validations) so you can query, join, model, and build dashboards immediately without building or maintaining your own ingestion infrastructure.

<Card title="Get it on the Snowflake Marketplace" icon="snowflake" href="https://app.snowflake.com/marketplace/listing/GZTYZ40XYU5">
  **\$50/month** flat rate — no pipelines to build.
</Card>

* **4,500+ public companies** covered
* **Quarterly transcripts, 2005 to present**
* **Split by speaker and paragraph**, ready to query
* **Weekly refreshes** as new transcripts become available
* **Automated pipeline quality checks** (row parity, lineage, merge validation)

Fruit Stand also publishes [FRED economic data](/datasets/fred-series) and [fund and ETF returns](/datasets/fund-returns) on the Snowflake Marketplace.

## Schema

Transcripts are available in a flat, query-ready table — one row per speaker paragraph:

| Column | Type | Description |
| - | - | - |
| `symbol` | `varchar` | Ticker of the reporting company |
| `fiscal_year` | `number` | Fiscal year of the earnings call |
| `fiscal_quarter` | `number` | Fiscal quarter of the earnings call |
| `report_date` | `date` | Date the earnings call took place |
| `speaker` | `varchar` | Name/role of the speaker for this paragraph |
| `content` | `varchar` | Verbatim paragraph text |
| `paragraph_number` | `number` | Order of the paragraph within the transcript |

```sql theme={null}
select 
  symbol, 
  fiscal_year, 
  fiscal_quarter, 
  speaker, 
  content,
from earning_call_transcripts_flat
where symbol = 'AAPL'
  and fiscal_year = 2025
  and fiscal_quarter = 4
order by paragraph_number
limit 4;
```

Example output (illustrative):

| symbol | fiscal\_year | fiscal\_quarter | speaker | content |
| - | - | - | - | - |
| AAPL | 2025 | 4 | Operator | Good afternoon, and welcome to the fourth quarter fiscal year 2025 earnings conference call... |
| AAPL | 2025 | 4 | Chief Executive Officer | Thanks for joining us today. We're pleased to report record revenue for the quarter... |
| AAPL | 2025 | 4 | Chief Financial Officer | Turning to the details of our results, gross margin came in at... |
| AAPL | 2025 | 4 | Analyst | Thanks for taking my question. Could you comment on demand trends in the region... |

Real output with full verbatim content is available on the [Snowflake Marketplace listing page](https://app.snowflake.com/marketplace/listing/GZTYZ40XYU5).

## Data Ingestion

Data is ingested into Snowflake with best practices in mind.

<Steps>
  <Step title="Logical layers">
    Source → streamed parquet → S3 dated folder (raw snapshot) → Snowflake staging tables → transformations → curated Snowflake final tables/views.
  </Step>

  <Step title="Incremental ingestion">
    Weekly updates are pulled; downstream assets update only companies whose transcripts have changed or are new.
  </Step>
</Steps>

## Data Quality

* Explicit file log tables track S3 object lineage (location, stage, timestamp, latest flag) enabling audit and reprocessing.
* Asset checks assert presence of required fields and row deltas (extensible to freshness / volume anomaly detection).

## Disclosures

Fruit Stand Data LLC is not endorsed by or affiliated with any of these providers. Use [contact@fruitstand.dev](mailto:contact@fruitstand.dev) for questions.

## F.A.Q.

Frequently asked questions from our clients.

<AccordionGroup>
  <Accordion title="What are Earnings Call Transcripts?">
    Earnings call transcripts are written records of quarterly conference calls where public companies discuss their financial results with investors and analysts. Companies explain their financial results in their own words. You get context and reasoning behind the numbers. Management shares forward-looking guidance and insights. Reveals what questions analysts are asking and concerns they have.
  </Accordion>

  <Accordion title="How often is the data refreshed?">
    Data is updated weekly via an incremental refresh.
  </Accordion>

  <Accordion title="When does replication across cloud regions happen?">
    Replication of refreshes across cloud regions begins at 5:00 AM PST each day. If you consume this listing from a Snowflake region other than its primary region, expect each day's updated data to arrive after that replication run.
  </Accordion>

  <Accordion title="Why use Fruit Stand's Earnings Call Transcripts Snowflake listing?">
    Clients use our services for speed to insights (e.g., faster modeling, analytics), data quality controls, and engineering. By using our listing, you no longer need to worry about API limits, throttling, pipeline management, and performance. Instead with us, you get complete coverage, 20+ years of transcript history that can be queried and analyzed right away. Don't wait months for engineering or maintaining pipelines, start analyzing right away.
  </Accordion>

  <Accordion title="Can I request additional earnings call transcript data to be made available in Snowflake?">
    Yes! Please reach out to [contact@fruitstand.dev](mailto:contact@fruitstand.dev) with the requirements. We are more than happy to make it available.
  </Accordion>
</AccordionGroup>


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