Financial Modeling Prep review

Financial Modeling Prep (FMP) sells structured financial data for research, analysis, and software products. You can look up data on its website or pull it into an app through APIs. The catalog covers stocks, ETFs, funds, indexes, forex, crypto, and commodities, with availability depending on the plan.

The data includes historical prices, company financial statements, earnings transcripts, analyst estimates, market news, and ownership records. FMP also lists calendars for earnings, IPOs, dividends, and stock splits, alongside insider trades, congressional disclosures, institutional holdings, and Form 13F filings.

For developers, FMP says it offers more than 100 endpoints, plus WebSocket access and bulk downloads in JSON or CSV. That makes it a data source to build around, rather than just a place to read quotes. But access to markets, history, request volume, and bandwidth is capped by plan, so the catalog alone does not tell you what you can use.

FMP’s main advantage is breadth: one provider lists market prices, fundamentals, news, calendars, estimates, and ownership data, with API, WebSocket, and bulk-download delivery. That can reduce the need to stitch together separate sources, though you should confirm that the specific endpoint and market you need are included in your plan.

The pricing page lists a free Basic plan for exploring data, then three paid tiers. Annual billing is shown at discounted monthly equivalents:

• Basic: $0, with 250 calls per day, end-of-day historical data, up to five years of history, and 500MB of trailing 30-day bandwidth.
• Starter: $19 per month billed annually, or $29 monthly. It includes US coverage, 300 calls per minute, up to five years of history, and 20GB of trailing 30-day bandwidth.
• Premium: $49 per month billed annually, or $69 monthly. It adds UK and Canada coverage, 30+ years of history, 750 calls per minute, and 50GB of bandwidth.
• Ultimate: $99 per month billed annually, or $139 monthly. It lists global coverage, full historical access, 3,000 calls per minute, and 150GB of bandwidth.

The free tier offers a way to check whether the data suits a project before paying. One Reddit user also described using FMP data in an AI-assisted stock screener, an example of the API being used in a research workflow—not evidence of data quality.

The plan boundaries matter. Starter is limited to US coverage and up to five years of history; UK and Canada coverage starts at Premium, while global coverage is listed for Ultimate. Request rates and rolling bandwidth also have ceilings: even Ultimate lists 3,000 calls per minute and 150GB per trailing 30 days. The pricing page does not describe these plans as unlimited.

There are also user-reported reliability concerns. In one Reddit thread, a paid Starter Annual customer said FMP’s documented /stable/shares-float endpoint, used for data on about 1,800 NSE stocks, stopped working for them on August 11, 2026, without notice. Another Reddit discussion describes recurring missing data and values that differed from other platforms. Those are individual reports, not proof that all customers or endpoints have the same problem, but they are worth weighing if your product depends on continuous delivery or a specific market.

Before switching, verify endpoint access for your exchange and plan, and check whether the history, call rate, and bandwidth caps fit your workload. The published pricing details do not list add-ons or a free trial.

Financial Modeling Prep has a free Basic plan, then three paid tiers. Starter is $29 per month, or $19 per month on the annual-billing rate listed on the pricing page. Premium is $69 monthly or $49 annual; Ultimate is $139 monthly or $99 annual. The page gives discounted monthly equivalents for annual billing, but the published pricing details don’t spell out the annual payment terms.

The tier jumps are material: Starter to Premium adds $40 a month at monthly rates, while Premium to Ultimate adds $70. Those upgrades buy higher call limits and broader data access. Starter covers US data and allows 300 calls per minute; Premium adds UK and Canada, 30+ years of history and 750 calls per minute. Ultimate is the global tier, with 3,000 calls per minute and full historical access.

Basic is capped at 250 calls per day, end-of-day historical data, a five-year range and 500MB of trailing 30-day bandwidth. Paid plans also have bandwidth caps: 20GB, 50GB and 150GB. The pricing details list no add-ons.

FMP offers API, WebSocket and bulk-download delivery, with data available in JSON or CSV. That gives teams options for moving data in or out, but the published material doesn’t specify which datasets bulk downloads cover, or whether FMP provides migration tools. Before switching, map the endpoints, fields and update schedules your product depends on; replacing those integrations may take more work than changing a data subscription.

The likely lock-in is in your application code and data workflows, rather than a stated proprietary export format. FMP lists more than 100 endpoints, so check that a replacement covers the specific statements, historical data and other datasets you use. The review material flags user-reported reliability concerns, but includes no Reddit post details explaining why users leave. We can’t establish a specific Reddit-reported churn pattern from the published sources. FMP’s pricing also makes global coverage a potential reason to switch: the listed global tier is Ultimate, at $139 monthly or $99 per month on the annual-billing rate.