The largest price target database available anywhere.
Growing by 300+ price targets a day.
660K+ price targets and 750K+ ratings, climbing by more than 300 every day. 7K+ named analysts, active and retired, at 400+ brokers, across 9K+ companies, past and present including the ones that got delisted, going back to 2008.
On top of the raw record sits a second layer: every target scored against what the stock did next. Reached or not reached. How many days it took. Average time to target, per analyst and per ticker. If your research runs on price target data, you’re in the right place.
Try the data on a stock you already know
Apple, scored end to end: 3,794 analyst events, every target marked reached or not, with the days it took. A 100-row preview downloads free. Leave a work email address and the full file is sent on request.
| Analyst | Perf. score | Rating | Current PT | Previous PT | Potential upside | Date of last PT | Targets met | Avg days to hit |
|---|---|---|---|---|---|---|---|---|
| Barton Crockett (ROSENBLATT) | 1.92 | Hold since 28-Jul-2025 | $303 | $300 | -$22.13 (-6.81%) | 31-Aug-2026 | 31/33 (93.94%) | 170 |
| Edison Lee (JEFFERIES) | 1.05 | Hold since 16-Dec-2025 | $263.66 | $286.54 | -$61.47 (-18.91%) | 09-Aug-2026 | 9/15 (60.00%) | 91 |
| Samik Chatterjee (JPMORGAN) | 1.89 | Buy since 10-Jan-2019 | $340 | $325 | +$14.87 (4.57%) | 30-Jul-2026 | 100/101 (99.01%) | 298 |
| Aaron Rakers (WELLS FARGO) | 2.04 | Buy since 13-Apr-2020 | $350 | $310 | +$24.87 (7.65%) | 30-Jul-2026 | 64/66 (96.97%) | 321 |
| Tim Long (BARCLAYS) | 1.76 | Sell since 10-Jan-2024 | $245 | $253 | -$80.13 (-24.65%) | 30-Jul-2026 | 56/76 (73.68%) | 124 |
Schema preview. Warehouse share on Snowflake or BigQuery available on request
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Ask in your own words: analyst accuracy on a ticker, price target history, sector rankings, how the brokers you pay compare against each other. We run it against 660K+ price targets and 750K+ ratings, then send you a formatted Excel or PDF report.
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Inspect the data yourself, or ask a question and get a document back. Data cuts are quoted to the job. Queries are priced from $149, and the first one is free.
The data
Free100-row preview
7K+ analysts, 660K+ price targets, 9K+ companies, past and present
- A 100-row Apple preview, free to download. The full file, 3,794 rows from 2005 to 2026, sent to a work email address on request
- Every target with the date it was set and the closing price that day
- Whether the stock reached it, and how many days that took
- Split-adjusted and raw both kept, so you can check our arithmetic
- Delivered as a file, or as a Snowflake or BigQuery share if you want to run your own SQL
- Cuts by ticker, sector, broker or date range on request
The answer
Freeyour first question
Ask in your own words. We send back a document.
- One question answered free. No card, no call first.
- Comes back as Excel or PDF with the method written out
- Every row carries its date and where the call came from
- Back inside one business day
- Queries from $149 after the first
- Larger cuts quoted to the job
We’re open to other requests. If what you need isn’t described on this page, say what it is and we’ll tell you plainly whether we hold it.
Built for the teams that track analyst coverage
Research procurement, institutional research, quant, and wealth management. Four audiences, one dataset that lives in your warehouse.
Research procurement & broker relations
Run the broker vote on outcomes, not reads. See which of the analysts you pay reached their targets, how often, and how long it took, per broker and per desk. Defend the allocation with a record the desks can check line by line.
Institutional research teams
Aggregate consensus views across 7K+ analysts and filter by track record. See the difference between the Street’s best-informed voices and the noise, before you publish your own view.
Quantitative researchers
Two decades of clean, structured price target and rating revisions on 9K+ companies, past and present, including delisted names. Use analyst hit ratios as alpha signals or sentiment features, survivorship-bias-free. Pipe directly into your Snowflake or BigQuery model stack. No ingestion engineering required.
Wealth managers & RIAs
Surface which analysts covering your portfolio holdings have hit their targets, and which have not. Build client conviction with a track record layer your clients can verify, at a fraction of terminal cost.
Frequently asked questions
How is the data delivered?
As a flat file, or as a Snowflake secure data share or Google BigQuery share that you query inside your own warehouse. No API, no ingestion code, no ETL pipelines to maintain.
How far back does the history go?
The record runs since 2008, with every revision kept. Every analyst update is preserved, not overwritten.
Do you retain delisted stocks?
Yes. Delisted, acquired, and bankrupt tickers stay in the dataset with full history. That matters for backtesting analyst accuracy. Removing delisted names creates survivorship bias and overstates returns.
How often is the dataset refreshed?
Our parser runs continuously, monitoring analyst activity across thousands of stocks. Warehouse shares refresh daily once access is set up. Ask if you need a different cadence.
What exactly is a hit ratio?
The share of an analyst’s price targets the stock went on to reach. Met is directional and has no deadline: an upgrade target counts when the stock trades up to it, a cut counts when it trades down to it, however long that takes. Time is reported separately as days to hit, so a fast call and a slow one never look the same.
Do I have to sign up for anything?
No. A question is answered once and ends on delivery of the report. The $29 ticker files are one-time. A data licence runs for the term in its quote and does not renew by itself; either side can end it early on 30 days’ written notice, with fees for the current term not refunded.
Do you offer academic or research pricing?
Yes. We work with universities and research institutions on discounted access for academic projects. Email directly to discuss fit.
Start with Apple.
3,794 Apple targets with the outcome of each one attached, sent to a work email address on request. Pull it apart, check the dates, see whether the method holds. Then tell us what you want cut.