Analyst Price Target Data: How to Access 833,000+ Records Without Bloomberg Prices

    Last updated: May 1, 2026

    If you’ve tried to source analyst price target data — full history, accuracy-scored, machine-readable — you already know the options aren’t good.

    For instance, Bloomberg and FactSet charge $20,000+ a year. However, public aggregators give you today’s consensus but strip the history. Above all, almost nobody includes the part that actually matters: which analysts were right.

    Here’s what this post covers: how AnaChart’s full database of 833,000+ analyst price target events is now available for direct access — as a warehouse-native Snowflake or BigQuery share starting at $1,000/month, or as a one-time custom report from $149 with no account required.

    Want to see the data before reading further? A free AAPL sample — full analyst coverage, price targets, ratings, and accuracy scores for Apple — is available at anachart.store. No sign-up. No commitment.

    In this post:

    What is analyst price target data?

    Analyst price target data is the structured record of every price target and rating issued by Wall Street sell-side analysts — including the date of issuance, the target price, the rating, and critically, whether the target was subsequently hit.

    In most cases, sources only give you the current consensus: today’s average target across all analysts covering a stock. That’s useful; however, it hides the most important variable — analyst skill.

    In practice, AnaChart’s analyst price target data goes further. Every target is scored against the stock’s realised price over the evaluation horizon. The result is therefore a hit rate for each analyst: the percentage of their targets that came true, measured across every forecast they’ve ever made.

    Ultimately, that’s the difference between knowing what Wall Street said and knowing who on Wall Street was actually right.

    What’s inside the AnaChart database

    The database covers 9,687 Wall Street analysts across 7,193 stocks, with records going back 23 years.

    Here’s what each record contains:

    • Analyst name, firm, and date of each price target issuance or revision
    • Target price and rating (Buy / Hold / Sell / equivalent) at time of issue
    • Subsequent realised price, evaluated against the target at the standard horizon
    • Cumulative hit rate and accuracy score for the analyst across all historical forecasts

    In total, the database holds 833,000+ analyst price target records.

    Specifically, that last bullet — the accuracy score — is what no other analyst data provider offers at this depth. Bloomberg has raw revision history; however, it doesn’t score it. FactSet aggregates consensus; it doesn’t rank analysts by skill. AnaChart, however, does.

    In fact, the 23-year depth isn’t a marketing number. It reflects the actual span of price target and outcome records built from verified historical sources. For most accuracy models, 23 years makes individual analyst hit rates statistically meaningful — even for analysts who cover a narrow set of stocks.

    The database is updated on an ongoing basis to reflect new analyst activity across all covered stocks and sectors.

    Two ways to access the data

    AnaChart offers two delivery paths. Which one fits depends on whether you already have an existing data stack or just need a specific cut of the data.

    Warehouse Share Custom Report
    Delivery Snowflake or BigQuery native share Excel or PDF
    Setup required Existing warehouse account None
    Third-party sign-up Snowflake or BigQuery account Not required
    Turnaround Live within 5 business days 24–48 hours (same-day target)
    Price From $1,000/month From $149 one-time
    Coverage NASDAQ 100 to full market Any ticker, analyst, or firm
    Commitment Monthly subscription None — pay per query
    Best for Ongoing models, quant teams, institutional data stacks One-time studies, IR briefs, research
    Free sample AAPL (no sign-up) —

    Bottom line: if analyst accuracy data needs to feed a live model or systematic process, the warehouse share is the right path. If you need a specific slice of the data — one analyst’s history, one stock’s coverage, one sector comparison — the custom report gets you there without any infrastructure commitment.

    Warehouse-native delivery: Snowflake or BigQuery

    For teams with an existing data stack, AnaChart delivers the full dataset as a native share directly into your Snowflake or BigQuery environment.

    There’s no ETL to configure, no proprietary API to learn, and no file format to parse. The share appears in your warehouse and joins to your existing models like any internal table.

    This is the access path behind AnaChart Corporate Access — built for portfolio managers, quant analysts, and data teams at institutional firms who need analyst accuracy data as a standard model input, not a lookup tool.

    Coverage tiers start from the NASDAQ 100 to full market coverage. A free sample (AAPL, schema documentation included) is available at anachart.store with no sign-up required, so a data team can verify fit before committing.

    Here is what institutional clients typically use the warehouse feed for:

    • Accuracy-weighted consensus models. Instead of averaging price targets equally, weight each target by the analyst’s historical hit rate. A 10-year, 80%-accuracy analyst carries more signal than a first-year analyst with no track record. Standard consensus treats both equally — AnaChart data lets you fix that.
    • Analyst selection. Screen for analysts who have a demonstrably above-average hit rate on a specific sector or ticker before deciding whose coverage to follow or pay for.
    • Firm benchmarking. Compare the accuracy distribution across sell-side firms. Useful for buy-side teams evaluating broker relationships, and for IR teams assessing which analysts covering their stock are historically credible.
    • Backtesting signals. Use historical price target revisions as a factor input in systematic strategies. The AnaChart accuracy score functions as a quality filter — removing low-skill analyst noise before the signal enters a model.

    Custom data reports: from $149, no warehouse required

    Not every use case needs a Snowflake integration.

    Research teams, independent analysts, IR professionals, and individual investors sometimes need one specific cut of the data — a single analyst’s full history, all targets on a given ticker over five years, an accuracy comparison across a broker’s coverage team, or a bespoke dataset for a one-time study.

    Specifically, AnaChart’s Custom Data Reports service handles exactly that.

    Here’s how it works: submit a plain-English description of what you need — ticker, analyst, firm, timeframe, output format. AnaChart queries the database directly and delivers the results as Excel or PDF.

    You need no Snowflake account, no BigQuery marketplace sign-up, and no third-party onboarding of any kind.

    Reports are fulfilled within 24–48 hours, with same-day turnaround the standard target. Pricing starts at $149 for a single query and scales to $999 for complex multi-variable reports.

    Common requests:

    • Full price target history and hit rate for a named analyst (useful before meetings with sell-side coverage)
    • All analysts who have covered a specific ticker, ranked by accuracy, over the past 10 years
    • Head-to-head accuracy comparison between two or more sell-side firms on a given sector
    • All analyst upgrades and downgrades on a stock in a defined date range, with outcome scores appended
    • Analyst coverage breadth and accuracy profile for a corporate IR briefing

    Who uses analyst price target data — and how

    Buy-side portfolio managers use the warehouse feed to build accuracy-weighted consensus into their investment process. In contrast, standard consensus products weight every analyst equally — which is the implicit assumption in Bloomberg’s consensus figure. AnaChart data lets you replace that assumption with a 23-year track record per analyst.

    Similarly, quantitative analysts and data teams integrate the Snowflake or BigQuery share directly into existing factor models. Analyst revision signals are a well-established factor in systematic equity strategies; AnaChart accuracy scores add a quality dimension that raw revision data does not provide.

    Corporate IR teams, for example, use the database to understand which analysts covering their stock have a historically strong track record. In investor communications, citing that the most accurate analysts covering the company are bullish is a more defensible position than citing the consensus alone.

    Individual investors with a research process cross-reference the top analyst rankings on anachart.com before acting on a rating, and commission custom reports for deeper dives into specific analyst-stock relationships.

    Financial journalists and research contributors reference AnaChart accuracy data to contextualise analyst commentary — noting not just what an analyst said, but their historical hit rate on the stock or sector in question.

    How the accuracy scores are calculated

    Every analyst’s accuracy score is calculated against realised end-of-day prices over the standard evaluation horizon. A target counts as a hit if the stock reached the target price within the horizon from the date of issuance.

    The methodology is consistent across all 9,687 analysts in the database and is documented in full on the AnaChart methodology page.

    The scoring approach is applied uniformly — the same formula governs every analyst, every stock, and every forecast in the database.

    Most institutional data providers either don’t score analyst accuracy at all, or cover a rolling 12–36 month window. A 23-year baseline allows hit rates to be statistically meaningful even for analysts who cover a relatively narrow set of stocks — the sample size is large enough to distinguish skill from luck.

    Frequently asked questions

    What is analyst price target data?

    Analyst price target data is the structured record of every price target and rating issued by Wall Street sell-side analysts, including the date, target price, rating, and whether the target was subsequently realised. AnaChart’s database covers 833,000+ events across 9,687 analysts and 7,193 stocks, with 23 years of history and an accuracy score for every analyst.

    How do I get historical analyst price target data?

    AnaChart offers two access paths. Teams with a Snowflake or BigQuery environment can receive a warehouse-native share from $1,000/month. Alternatively, teams without a warehouse account can request a custom one-time report from $149 — submit a plain-English description of what you need, and AnaChart delivers Excel or PDF within 24–48 hours. A free AAPL sample is available at anachart.store with no sign-up required.

    Does AnaChart’s analyst data include accuracy scores?

    Yes — and this is what separates AnaChart from every other analyst data source. Every price target in the database is evaluated against the stock’s realised price and assigned a hit/miss outcome. Each analyst has a cumulative hit rate across all their historical forecasts. By contrast, Bloomberg and FactSet have raw revision history but do not score it.

    What is the difference between a Snowflake data share and a custom report?

    A Snowflake or BigQuery share delivers the full database directly into your existing data warehouse — no ETL, no file transfer, no API. It is a live share that joins to your internal models like any native table. By contrast, a custom report is a one-time query: you describe what you need, AnaChart runs the query, and you receive the results as Excel or PDF. The custom report path requires no warehouse account or technical setup.

    Is the free AAPL sample representative of the full database?

    Yes. The AAPL sample includes the same fields, schema, and accuracy scoring that appear in the full warehouse share. It includes schema documentation to allow data teams to verify format and data quality before committing to a subscription. No sign-up or payment details are required to access it.

    How far back does AnaChart’s analyst price target history go?

    AnaChart’s database goes back 23 years. This is the actual span of verified price target and outcome records in the system. For most institutional accuracy models, a 23-year window provides sample sizes large enough to distinguish analyst skill from market-driven noise — even for analysts covering a narrow set of stocks.

    How to get started

    The fastest way to evaluate the data is the free AAPL sample at anachart.store. It includes full analyst coverage, price targets, ratings, and accuracy scores for Apple — plus schema documentation as well. No sign-up required. No payment details needed.

    For the warehouse share (Snowflake or BigQuery), pricing and coverage tiers are listed on anachart.store. The standard onboarding path is a brief discovery call to confirm coverage scope and delivery format, followed by a live data share within five business days.

    For a custom one-time report, submit your query at anachart.store/custom-data-queries. Describe what you need in plain English — ticker, analyst, firm, date range, format — and the team will confirm scope and turnaround before billing. There is no minimum commitment. Simply pay per query.

    Note: This post covers institutional and professional data access via anachart.store. For retail investor access to analyst accuracy rankings, visit anachart.com.

    Analyst Price Target Data: FAQ

    Where can I get analyst price target data without Bloomberg or FactSet?

    Bloomberg and FactSet are powerful but cost upwards of $20,000 a year, and most free aggregators only show today’s consensus while stripping out the history. AnaChart specializes in the historical, accuracy-scored price-target record — more than 833,000 analyst actions since 2004 — available on the site and, for teams, warehouse-native via AnaChart Corporate Access.

    How many analyst price-target records does AnaChart have?

    AnaChart’s database holds over 833,000 analyst actions, including more than 660,000 individual price targets, covering thousands of US-listed stocks with full revision history back to 2004.

    Can I get analyst price target data in a machine-readable format?

    Yes. Beyond the website, AnaChart Corporate Access delivers the full dataset directly into Snowflake or Google BigQuery, so quant and research teams can query it without building an ETL pipeline.

    Related on AnaChart: browse the top performing analysts by sector, and compare platforms in AnaChart vs TipRanks.