Provides a flexible interface to the ‘Financial Modeling Prep’ API. The package supports all available endpoints and parameters, enabling R users to interact with a wide range of financial data.
💡 This package is developed by Christoph Scheuch and not sponsored by or affiliated with FMP. However, you can get 15% off your FMP subscription by using this affiliate link. By signing up through this link, you also support the development of this package at no extra cost to you.
For a Python implementation, please consider the py-fmpapi library.
Installation
You can install the package from CRAN via:
install.packages("fmpapi")You can install the development version from GitHub:
pak::pak("tidy-finance/r-fmpapi")Setup
Before using the package, you need to set your Financial Modeling Prep API key. You can set it using the fmp_set_api_key() function, which saves the key to your .Renviron file for future use (either in your project or home folder).
Usage
Since the FMP API has a myriad of endpoints and parameters, the package provides a single function to handle requests: fmp_get().
You can retrieve a company’s profile by providing its stock symbol to the profile endpoint:
fmp_get(resource = "profile", symbol = "AAPL")
#> # A tibble: 1 × 36
#> symbol price market_cap beta last_dividend range change change_percentage
#> <chr> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <dbl>
#> 1 AAPL 248. 3644938780583 1.12 1.04 169.2… -0.97 -0.390
#> # ℹ 28 more variables: volume <int>, average_volume <int>, company_name <chr>,
#> # currency <chr>, cik <chr>, isin <chr>, cusip <chr>,
#> # exchange_full_name <chr>, exchange <chr>, industry <chr>, website <chr>,
#> # description <chr>, ceo <chr>, sector <chr>, country <chr>,
#> # full_time_employees <chr>, phone <chr>, address <chr>, city <chr>,
#> # state <chr>, zip <chr>, image <chr>, ipo_date <date>, default_image <lgl>,
#> # is_etf <lgl>, is_actively_trading <lgl>, is_adr <lgl>, is_fund <lgl>To retrieve the balance sheet statements for a company, use the balance-sheet-statement endpoint. You can specify whether to retrieve annual or quarterly data using the period parameter and the number of records via limit. Note that you need a paid account for quarterly data.
fmp_get(
resource = "balance-sheet-statement",
symbol = "AAPL",
params = list(period = "annual", limit = 5)
)
#> # A tibble: 5 × 61
#> date symbol reported_currency cik filing_date accepted_date
#> <date> <chr> <chr> <chr> <date> <dttm>
#> 1 2025-09-27 AAPL USD 0000320193 2025-10-31 2025-10-31 06:01:26
#> 2 2024-09-28 AAPL USD 0000320193 2024-11-01 2024-11-01 06:01:36
#> 3 2023-09-30 AAPL USD 0000320193 2023-11-03 2023-11-02 18:08:27
#> 4 2022-09-24 AAPL USD 0000320193 2022-10-28 2022-10-27 18:01:14
#> 5 2021-09-25 AAPL USD 0000320193 2021-10-29 2021-10-28 18:04:28
#> # ℹ 55 more variables: fiscal_year <chr>, period <chr>,
#> # cash_and_cash_equivalents <dbl>, short_term_investments <dbl>,
#> # cash_and_short_term_investments <dbl>, net_receivables <dbl>,
#> # accounts_receivables <dbl>, other_receivables <dbl>, inventory <dbl>,
#> # prepaids <int>, other_current_assets <dbl>, total_current_assets <dbl>,
#> # property_plant_equipment_net <dbl>, goodwill <int>,
#> # intangible_assets <int>, goodwill_and_intangible_assets <int>, …The income-statement endpoint allows you to retrieve income statements for a specific stock symbol.
fmp_get(resource = "income-statement", symbol = "AAPL")
#> # A tibble: 5 × 39
#> date symbol reported_currency cik filing_date accepted_date
#> <date> <chr> <chr> <chr> <date> <dttm>
#> 1 2025-09-27 AAPL USD 0000320193 2025-10-31 2025-10-31 06:01:26
#> 2 2024-09-28 AAPL USD 0000320193 2024-11-01 2024-11-01 06:01:36
#> 3 2023-09-30 AAPL USD 0000320193 2023-11-03 2023-11-02 18:08:27
#> 4 2022-09-24 AAPL USD 0000320193 2022-10-28 2022-10-27 18:01:14
#> 5 2021-09-25 AAPL USD 0000320193 2021-10-29 2021-10-28 18:04:28
#> # ℹ 33 more variables: fiscal_year <chr>, period <chr>, revenue <dbl>,
#> # cost_of_revenue <dbl>, gross_profit <dbl>,
#> # research_and_development_expenses <dbl>,
#> # general_and_administrative_expenses <dbl>,
#> # selling_and_marketing_expenses <dbl>,
#> # selling_general_and_administrative_expenses <dbl>, other_expenses <int>,
#> # operating_expenses <dbl>, cost_and_expenses <dbl>, …You can fetch cash flow statements using the cash-flow-statement endpoint.
fmp_get(resource = "cash-flow-statement", symbol = "AAPL")
#> # A tibble: 5 × 47
#> date symbol reported_currency cik filing_date accepted_date
#> <date> <chr> <chr> <chr> <date> <dttm>
#> 1 2025-09-27 AAPL USD 0000320193 2025-10-31 2025-10-31 06:01:26
#> 2 2024-09-28 AAPL USD 0000320193 2024-11-01 2024-11-01 06:01:36
#> 3 2023-09-30 AAPL USD 0000320193 2023-11-03 2023-11-02 18:08:27
#> 4 2022-09-24 AAPL USD 0000320193 2022-10-28 2022-10-27 18:01:14
#> 5 2021-09-25 AAPL USD 0000320193 2021-10-29 2021-10-28 18:04:28
#> # ℹ 41 more variables: fiscal_year <chr>, period <chr>, net_income <dbl>,
#> # depreciation_and_amortization <dbl>, deferred_income_tax <dbl>,
#> # stock_based_compensation <dbl>, change_in_working_capital <dbl>,
#> # accounts_receivables <dbl>, inventory <dbl>, accounts_payables <dbl>,
#> # other_working_capital <dbl>, other_non_cash_items <dbl>,
#> # net_cash_provided_by_operating_activities <dbl>,
#> # investments_in_property_plant_and_equipment <dbl>, …You can fetch market capitalization for multiple stocks:
Relation to Existing Packages
There are two existing R packages that also provide an interface to the FMP API. Both packages lack flexibility because they provide dedicated functions for each endpoint, which means that users need to study both the FMP API docs and the package documentation and developers have to create new functions for each new endpoint.