Valuation Multiples API
Retrieve pre-calculated valuation multiples for any publicly traded company. This endpoint returns price-based multiples (P/E, P/B, P/S, P/CF) and enterprise-value-based multiples (EV/Sales, EV/EBITDA) along with their historical high and low values for each period.
Valuation multiples are the most commonly used metrics for relative valuation. comparing a company's market price to its fundamental financial performance. By providing both current and high/low variants, this endpoint enables range-based valuation analysis and helps identify whether a stock is trading above or below its historical norms.
Data is available for both annual and quarterly periods, with up to 250 historical periods per request.
https://api.roic.ai/v2/fundamental/multiples/{identifier}Parameters
Path Parameters
identifierstringrequiredCompany identifier — supports ticker symbol (e.g., `AAPL`), CIK, CUSIP, or ISIN.
AAPLQuery Parameters
apikeystringrequiredYour API key for authentication.
periodstringoptionalReporting period for financial data.
annualValues: annual, quarterlylimitnumberoptionalMaximum number of periods to return.
10Example: 10fiscal_year_startnumberoptionalFilter results starting from this fiscal year.
2020fiscal_year_endnumberoptionalFilter results ending at this fiscal year.
2024date_startstringoptionalFilter results starting from this date (YYYY-MM-DD format).
2020-01-01date_endstringoptionalFilter results ending at this date (YYYY-MM-DD format).
2024-12-31orderstringoptionalSort order for time-series data.
DESCValues: ASC, DESCformatstringoptionalResponse format. Use `json` for JSON (default) or `excel` for tab-separated values compatible with Google Sheets and Excel.
jsonValues: json, excelCode Examples
curl "https://api.roic.ai/v2/fundamental/multiples/AAPL?apikey=YOUR_API_KEY"Response
[
{
"ticker": "AAPL",
"date": "2025-09-30",
"period": "annual",
"period_label": "2025",
"fiscal_year": "2025",
"pe_ratio": 33.98211369520578,
"average_price_earnings_ratio": 29.874264293723773,
"pe_ratio_with_high_clos_pr": 34.71212257834122,
"pe_ratio_with_low_clos_pr": 22.582230916882423,
"pr_to_book_ratio": 47.99677891405225,
"average_price_to_book_ratio": 42.19479904594976,
"high_closing_price_to_book_ratio": 49.027852945626954,
"low_closing_price_to_book_ratio": 31.895436358821748,
"pr_to_tang_bv_per_sh": 51.623242713574655,
"average_price_to_tangible_bps": 45.38288613700785,
"high_price_to_tangible_bps": 52.7322209865325,
"low_price_to_tangible_bps": 34.30534068870113,
"pr_to_sales_ratio": 9.146307691013813,
"average_price_to_sales_ratio": 8.040677390577205,
"high_closing_price_to_sales_ratio": 9.342790050004686,
"low_closing_price_to_sales_ratio": 6.078021931415966,
"pr_to_cash_flow": 34.143059462514124,
"average_price_to_cash_flow": 30.01575450332789,
"high_closing_price_to_cash_flow": 34.87652580685671,
"low_closing_price_to_cash_flow": 22.689184666582946,
"pr_to_free_cash_flow": 30.762788127813074,
"average_price_to_free_cash_flow": 27.044099469061894,
"high_price_to_free_cash_flow": 31.423638974371368,
"low_price_to_free_cash_flow": 20.442883317390923,
"ev_to_ttm_sales": 9.251939886245948,
"average_ev_to_ttm_sales": 8.191395502077322,
"high_ev_to_ttm_sales": 9.493508161504803,
"low_ev_to_ttm_sales": 6.228740042916083,
"ev_to_ttm_ebitda": 26.59999830740321,
"avg_ev_to_ttm_ebitda": 23.55085627117473,
"high_ev_to_ttm_ebitda": 27.294524622101864,
"low_ev_to_ttm_ebitda": 17.90807945532926,
"ev_to_ttm_ebit": 28.938718940248027,
"average_ev_to_ttm_ebit": 25.621490744381813,
"high_ev_to_ttm_ebit": 29.694309282224733,
"low_ev_to_ttm_ebit": 19.48259064261556,
"pr_last": 254.63,
"pr_high": 260.1,
"pr_low": 169.21,
"enterprise_value": 3850296555000,
"average_enterprise_value": 3408939343540,
"high_enterprise_value": 3950827850000.0005,
"low_enterprise_value": 2592158685000,
"bs_sh_out": 14773260000
}
]Field Dictionary
| Field | Description |
|---|---|
pe_ratio | Price to earnings (P/E) |
average_price_earnings_ratio | Average P/E ratio |
pe_ratio_with_high_clos_pr | P/E at 52-week high |
pe_ratio_with_low_clos_pr | P/E at 52-week low |
pr_to_book_ratio | Price to book (P/B) |
average_price_to_book_ratio | Average P/B ratio |
high_closing_price_to_book_ratio | P/B at 52-week high |
low_closing_price_to_book_ratio | P/B at 52-week low |
pr_to_tang_bv_per_sh | Price to tangible book value |
average_price_to_tangible_bps | Average price to tangible book |
high_price_to_tangible_bps | Price to tangible book at 52-week high |
low_price_to_tangible_bps | Price to tangible book at 52-week low |
pr_to_sales_ratio | Price to sales (P/S) |
average_price_to_sales_ratio | Average P/S ratio |
high_closing_price_to_sales_ratio | P/S at 52-week high |
low_closing_price_to_sales_ratio | P/S at 52-week low |
pr_to_cash_flow | Price to cash flow (P/CF) |
average_price_to_cash_flow | Average P/CF ratio |
high_closing_price_to_cash_flow | P/CF at 52-week high |
low_closing_price_to_cash_flow | P/CF at 52-week low |
pr_to_free_cash_flow | Price to free cash flow (P/FCF) |
average_price_to_free_cash_flow | Average P/FCF ratio |
high_price_to_free_cash_flow | P/FCF at 52-week high |
low_price_to_free_cash_flow | P/FCF at 52-week low |
ev_to_ttm_sales | EV / TTM sales |
average_ev_to_ttm_sales | Average EV / TTM sales |
high_ev_to_ttm_sales | EV / TTM sales at 52-week high |
low_ev_to_ttm_sales | EV / TTM sales at 52-week low |
ev_to_ttm_ebitda | EV / TTM EBITDA |
avg_ev_to_ttm_ebitda | Average EV / TTM EBITDA |
high_ev_to_ttm_ebitda | EV / TTM EBITDA at 52-week high |
low_ev_to_ttm_ebitda | EV / TTM EBITDA at 52-week low |
ev_to_ttm_ebit | EV / TTM EBIT |
average_ev_to_ttm_ebit | Average EV / TTM EBIT |
high_ev_to_ttm_ebit | EV / TTM EBIT at 52-week high |
low_ev_to_ttm_ebit | EV / TTM EBIT at 52-week low |
pr_last | Last closing price |
pr_high | 52-week high price |
pr_low | 52-week low price |
enterprise_value | Enterprise value |
average_enterprise_value | Average enterprise value |
high_enterprise_value | Enterprise value at 52-week high |
low_enterprise_value | Enterprise value at 52-week low |
bs_sh_out | Shares outstanding |
Metadata
| Field | Description |
|---|---|
ticker | Ticker symbol |
date | Period end date |
period | Reporting period (annual/quarterly) |
period_label | Human-readable period label |
fiscal_year | Fiscal year |
Use Cases
- Build stock screeners that filter by P/E ratio, P/B ratio, or EV/EBITDA thresholds
- Create comparable company analysis tables for investment research
- Track valuation expansion and compression over market cycles
- Identify undervalued or overvalued stocks relative to their historical trading range
- Power financial dashboards with real-time valuation data
Related Endpoints
- Enterprise Value - raw EV and market cap data for custom multiple calculations
- Per-Share Data - EPS, book value per share for custom ratio calculations
- Profitability Ratios - margins and returns to pair with valuation analysis