Analyst Price Target Data: How to Access 660K+ Price Targets Without Bloomberg Prices

By Mathew Auto, AnaChart research desk. Updated 1 November 2026. Stock pages read 22 October 2026.

If you’ve tried to source analyst price target data with full history, accuracy scores and a machine-readable format, you have probably compared several sources.

Market-data terminals such as Bloomberg and FactSet cover analyst estimates across many markets, and many free sites focus on today’s consensus. AnaChart focuses on one question: which analysts were right.

Here’s what this post covers: how AnaChart’s full database of 660K+ analyst price targets and 750K+ ratings is now available for direct access, as a warehouse-native Snowflake or BigQuery share quoted to the cut you need, or as a one-time custom report from $149 with no account required.

Your first question is answered free.

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?
• What’s inside the AnaChart database
• Two ways to access the data
• Who uses analyst price target data, and how
• How the accuracy scores are calculated
• Seven calls as the data records them
• What to do with this
• Frequently asked questions
• How to get started

What is analyst price target data?

Analyst price target data is the structured record of the price targets and ratings that Wall Street sell-side analysts publish, 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. Each recorded target is checked against the stock’s closing prices after it was set.

The result is a hit rate for each analyst on each stock: the share of their recorded targets that the stock went on to reach.

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

Each step adds a field. The last one is the part a plain consensus leaves out: what happened to the analyst’s past targets on the same stock.

What’s inside the AnaChart database

The database covers 7K+ Wall Street analysts across 9K+ tickers, active and delisted, with records going back to 2008.

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 660K+ price targets and 750K+ ratings.

That last bullet, the accuracy score, is the part AnaChart adds. Terminals such as Bloomberg and FactSet carry revision histories and consensus figures across many markets.

AnaChart’s focus is narrower. It scores each analyst’s past targets on each stock, so a new target can be read next to the record of the person who set it.

The history runs back to 2008. That is the span of price target and outcome records built from historical sources. A record that long gives many analysts dozens of scored targets on a single stock.

On Caterpillar, Jamie Cook of Truist had 78 targets on AnaChart’s stock page on 22 October 2026, and 75 of them had been reached.

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

The top score on seven stocks

Here is what the per-stock records look like. For seven large U.S. stocks, the table shows the analyst with the highest performance score among those with 10 or more targets on the stock, as AnaChart’s pages showed them on 22 October 2026.

On a phone, swipe the table sideways to see every column.

Source: AnaChart stock pages, read 22 October 2026. Analysts with 10 or more targets on the stock.

Two things stand out. First, the top score is not the top hit rate. Noah Poponak leads on Boeing with 26 of 41 targets reached, while Michael Feniger has 26 of 26 on Caterpillar.

Second, scores run higher on some stocks than others. Each name in the table leads its stock, yet the scores range from 1.10 to 9.57. Compare scores within one stock.

The same records add up to a figure per stock. On the seven pages we read on 22 October 2026, the targets met ratio ran from 88.3% on GE Vernova to 50.9% on Nike.

Across all 575,976 targets in our accuracy study the figure was 70.9%, as we report in how accurate analyst price targets are.

Key takeaway: Across seven stock pages, the targets met ratio ran from 50.9% on Nike to 88.3% on GE Vernova.

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.

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 arrive within one business day. Your first question is answered free, and further queries start at $149 for a single query, quoted up front for bigger cuts.

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

Key takeaway: teams with a warehouse take a share, and everyone else can start with a single report.

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. A plain consensus gives each analyst the same weight. AnaChart data lets you replace that with each analyst’s track record on the stock, back to 2008.

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

Each analyst’s accuracy score is calculated from end-of-day prices. A target counts as met once the stock’s closing price reaches it after the date of issuance. The performance score then rewards targets that were reached fast and from further away.

The score formula

Score per target = 1,000 × (target − price at issue) ÷ (price at issue × days to reach the target).

For a target set below the price, the sign is flipped, so a correct call on a fall also scores above zero.

A target that has not been reached scores 0. AnaChart averages the per-target scores for each analyst on each stock. The formula is explained in this short video.

So a target 10% above the price that is reached in 50 days scores 2.0. The same target reached in 200 days scores 0.5. A hit rate counts both as one hit.

The methodology is the same for each analyst in the database and is documented in full on the AnaChart methodology page.

The same formula applies to each analyst, stock and target.

A long history gives larger samples per analyst and stock. That makes it easier to tell a record built on many targets from one built on a handful.

It matters because academic work has found only weak evidence that some analysts are persistently better at targets than others (Bradshaw, Brown and Huang, 2013).

Key takeaway: each recorded target is scored the same way, so records on one stock compare across analysts and years.

Seven calls as the data records them

A record is easier to judge with real calls in it.

Here are seven from 2026 on four stocks, with the fields the data holds: the call, the price that day, the analyst’s record on the stock and what the stock did next. We picked them to show the fields, not to measure anything.

On a phone, swipe the table sideways to see every column.

Only one of the seven has been reached so far, and the other six are less than a year old. Noah Kaye of Oppenheimer raised his Caterpillar target from $832 to $980 on 1 May 2026, with the stock at $889.67.

That was 10% above the price. Caterpillar passed $980 by the week of 21 June, 51 days later. Kaye had reached 4 of 4 Caterpillar targets on our page.

Uber shows why the record column matters. Our records hold eight Uber calls on 6 August 2026, and all eight were Buys. Two of them came from Ross Sandler of Barclays at $106 and Taylor Manley of Guggenheim, who kept $125.

Sandler had reached 18 of 20 Uber targets. Manley had reached none of his 9. Uber was $69.48 on 11 October, below both targets.

A long record does not settle the next call. Mark Strouse of JPMorgan set $1,330 on GE Vernova on 23 July 2026, 29% above the $1,031.19 price. His record on the stock was 25 of 26, reached in 41 days on average.

GE Vernova was $882.81 on 20 September, so this target has not been reached so far. Steven Fisher of UBS, with 53 of 58 on Caterpillar, is in the same spot with a $925 Hold target.

Key takeaway: Strouse had reached 25 of 26 GE Vernova targets, and his July target sat 51% above the 20 September price.

What to do with this

1. Start with one stock. List the analysts who cover a stock you own and sort them by score. On GE Vernova the top score on 22 October 2026 among analysts with 10 or more targets was Maheep Mandloi’s 9.57, with 14 of 16 targets reached in 38 days on average.
2. Check the sample size. A perfect record on four targets says less than 35 of 36. Filter for 10 or more targets on the stock before you rank anyone.
3. Compare scores within a stock. The top scores in our seven-stock table ran from 1.10 on McDonald’s to 9.57 on GE Vernova. A score is a ranking tool for one stock, not a grade across stocks.
4. Keep the date of each target. A target less than 12 months old that has not been reached is not a miss yet. Six of the seven calls above are in that state.
5. Test the data before you commit. The free AAPL sample has the same fields as the full share. For one stock, the $29 file on anachart.store is the smaller step.

How we measured this

The performance score uses the formula printed in the scoring section above.

Calls, ratings and targets come from AnaChart’s records of sell-side analysts through 5 October 2026. The price on the day of a call is the closing price AnaChart recorded that day, adjusted for later stock splits and without dividends.

To judge whether a target in the table was reached, we used the closing prices AnaChart records on days analysts publish, one point a week.

A target counts as reached in the first week such a price was at or past it, so the true date can be a few days earlier.

Each analyst’s record on the stock, counted as targets reached out of targets set, was read from AnaChart’s stock pages on 22 October 2026. Those pages count every trading day, so their figures are the official ones.

The per-stock shares of targets reached are the price targets met ratios shown on each stock page on 22 October 2026. The top-score table uses analysts with 10 or more targets on the stock.

Sources

1. AnaChart, how the performance score is calculated (video)
2. Bradshaw, M., Brown, L. and Huang, K. (2013). Do sell-side analysts exhibit differential target price forecasting ability? Review of Accounting Studies 18(4)
3. Brav, A. and Lehavy, R. (2003). An empirical analysis of analysts’ target prices: short-term informativeness and long-term dynamics. Journal of Finance 58(5), 1933 to 1967

Frequently asked questions

What is analyst price target data?

Analyst price target data is the structured record of the price targets and ratings that Wall Street sell-side analysts publish, including the date, target price, rating, and whether the target was subsequently realised.

AnaChart’s database covers 660K+ price targets and 750K+ ratings across 7K+ analysts and 9K+ tickers, active and delisted, since 2008, with an accuracy score for each analyst on each stock.

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, quoted to the cut they need.

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 one business day. A free AAPL sample is available at anachart.store with no sign-up required.

Does AnaChart’s analyst data include accuracy scores?

Yes. Each recorded price target is checked against the stock’s closing prices and marked as met or not met so far. Each analyst has a hit rate, an average time to reach targets and a performance score on each stock they cover.

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 to 2008. That is the span of price target and outcome records in the system. A long history gives larger samples per analyst and stock, which helps separate a record built on many targets from one built on a few.

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

Bloomberg and FactSet are full market-data terminals, and many free sites focus on today’s consensus. AnaChart specializes in the historical, accuracy-scored price-target record, 660K+ price targets and 750K+ ratings since 2008, 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 660K+ price targets and 750K+ ratings, covering thousands of US-listed stocks with full revision history back to 2008.

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.

How is the AnaChart performance score calculated?

For each target, 1,000 times the distance from the price at issue to the target, as a share of that price, divided by the days it took to reach it.

Targets below the price have the sign flipped, and unreached targets score 0. The scores are averaged per analyst and stock.

Can I buy analyst price target data for a single stock?

Yes. anachart.store sells a $29 file per stock for S&P 500 and Nasdaq-100 names, plus Canadian and German stocks, and answers a first question free. A free AAPL sample shows the fields first.

How often are analyst price targets reached?

In AnaChart’s accuracy study, 70.9% of 575,976 price targets were reached, after 335 days on average. On single stocks it varies: on 22 October 2026 the stock pages showed 88.3% on GE Vernova and 50.9% on Nike.

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. A work email, reviewed the same business day. 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.

For a single stock, anachart.store also sells a $29 file per stock, covering S&P 500 and Nasdaq-100 names plus Canadian and German stocks, and answers a first question free.

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

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