Historical Group Data

Introduction

This endpoint returns historical monthly values (time series) for the specified aggregated group.

Similar to Current Group Data, you can select from the following groups:

Industries: 220+ segments, for example: IoT, Online Dating, DevOps
Themes: 40+ broad technology themes, for example: DeepTech, PetTech
Countries: all global countries in ISO3 format, for example: CAN, JPN, BRA
Regions: all global regions, for example: Northern Europe, Oceania

You can mix groups together, for example Online Dating comps in Europe.

You can create time-series for the last 10 years (120 months).

Groups

Interactive public comps table available here to quickly look up industries, themes and geos

Four available fields - industries, themes, regions, countries

Industries - look up the full list here

{
    "industries": [
        "Productivity Software",
        "Cloud Infrastructure"
    ]
}

Themes - look up the full list here

{
    "themes": [
        "B2B SaaS"
    ]
}

Regions - full list in the code snippet below

{
    "regions": [
        "Africa",,
        "Central Asia",
        "East Asia",
        "Eastern Europe",
        "Latin America",
        "Middle East",
        "North America",
        "Northern Europe",
        "Oceania",
        "South Asia",
        "South-East Asia",
        "Southern Europe",
        "Western Europe"
    ]
}

Countries - look up the full list here

{
    "countries": [
        "ARG",
        "AUS",
        "AUT",
        "BHR",
        "BGD",
        "BEL",
        "BIH",
        "BRA"
    ]
}

You can mix fields together to narrow down your call

{
    "industries": [
        "Productivity Software",
        "Cloud Infrastructure"
    ],
    "themes": [
        "B2B SaaS"
    ]
}

Set up

Single endpoint, returning data for the combined group specification, per specified time-frame

Endpoint

https://multiples.vc/api/v2/groups/time-series

Body example

{
    "industries": [
        "Cybersecurity"
    ],
    "fields": [
        "evRevenueLtm",
        "evRevenueNtm"
    ],
    "dateFrom": "2024-03",
    "dateTo": "2025-04"
}

Response

{
    "data": [
        {
            "period": "2024-03",
            "median": {
                "evRevenueLtm": 3.8185000000000002,
                "evRevenueNtm": 3.4845
            }
        },
        {
            "period": "2024-04",
            "median": {
                "evRevenueLtm": 3.5656,
                "evRevenueNtm": 3.208
            }
        },
        {
            "period": "2024-05",
            "median": {
                "evRevenueLtm": 3.5612500000000002,
                "evRevenueNtm": 3.3096
            }
        },
        {
            "period": "2024-06",
            "median": {
                "evRevenueLtm": 3.4457,
                "evRevenueNtm": 3.3219000000000003
            }
        },
        {
            "period": "2024-07",
            "median": {
                "evRevenueLtm": 3.6839000000000004,
                "evRevenueNtm": 3.4715
            }
        },
        {
            "period": "2024-08",
            "median": {
                "evRevenueLtm": 3.68515,
                "evRevenueNtm": 3.3573
            }
        },
        {
            "period": "2024-09",
            "median": {
                "evRevenueLtm": 3.8834,
                "evRevenueNtm": 3.5027
            }
        },
        {
            "period": "2024-10",
            "median": {
                "evRevenueLtm": 3.9536,
                "evRevenueNtm": 3.5189
            }
        },
        {
            "period": "2024-11",
            "median": {
                "evRevenueLtm": 4.2094,
                "evRevenueNtm": 3.7185
            }
        },
        {
            "period": "2024-12",
            "median": {
                "evRevenueLtm": 4.4341,
                "evRevenueNtm": 3.7665
            }
        },
        {
            "period": "2025-01",
            "median": {
                "evRevenueLtm": 4.5944,
                "evRevenueNtm": 4.0721
            }
        },
        {
            "period": "2025-02",
            "median": {
                "evRevenueLtm": 4.7118,
                "evRevenueNtm": 4.244
            }
        },
        {
            "period": "2025-03",
            "median": {
                "evRevenueLtm": 4.369949999999999,
                "evRevenueNtm": 3.88815
            }
        },
        {
            "period": "2025-04",
            "median": {
                "evRevenueLtm": 4.3994,
                "evRevenueNtm": 3.8611
            }
        }
    ],
    "meta": {
        "count": 14,
        "companies": 133
    }
}

Available fields

Raw Financials


`marketCap`	market capitalization in USD
`marketCapLcu`	market capitalization in local currency
`enterpriseValue`	enterprise value in USD
`enterpriseValueLcu`	enterprise value in local currency
`revenueLtm`	revenue - last 12 months
`revenueNtm`	revenue - next 12 months
`ebitdaLtm`	EBITDA - last 12 months
`ebitdaNtm`	EBITDA - next 12 months
`grossProfitLtm`	gross profit - last 12 months
`grossProfitNtm`	gross profit - next 12 months
`netIncomeLtm`	net income - last 12 months
`netIncomeNtm`	net income - next 12 months
`fcfLtm`	free cash flow - last 12 months
`fcfNtm`	free cash flow - next 12 months

EV Multiples


`evRevenueLtm`	EV / LTM Revenue - last 12 months
`evRevenueNtm`	EV / NTM Revenue - next 12 months
`evRevenueGrowthAdjNtmLtm`	EV / Growth-Adjusted NTM/LTM Revenue
`evEbitdaLtm`	EV / LTM EBITDA - last 12 months
`evEbitdaNtm`	EV / NTM EBITDA - next 12 months
`evEbitdaGrowthAdjNtmLtm`	EV / Growth-Adjusted NTM/LTM EBITDA
`evGrossProfitLtm`	EV / LTM Gross Profit - last 12 months
`evGrossProfitNtm`	EV / NTM Gross Profit - next 12 months
`evFcfLtm`	EV / LTM Free Cash Flow - last 12 months
`evFcfNtm`	EV / NTM Free Cash Flow - next 12 months

Growth rates


`revenueGrowthNtmLtm`	Revenue growth NTM/LTM
`ebitdaGrowthNtmLtm`	EBITDA growth NTM/LTM

Margins


`marginEbitdaLtm`	EBITDA margin - last 12 months
`marginEbitdaNtm`	EBITDA margin - next 12 months
`marginEbitLtm`	EBIT margin - last 12 months
`marginEbitNtm`	EBIT margin - next 12 months
`marginGrossLtm`	Gross margin - last 12 months
`marginGrossNtm`	Gross margin - next 12 months
`marginFcfLtm`	Free cash flow margin - last 12 months
`marginFcfNtm`	Free cash flow margin - next 12 months
`marginNetLtm`	Net margin - last 12 months
`marginNetNtm`	Net margin - next 12 months

Expenses as % of revenue


`expensesRevenuePercentageSmLtm`	LTM Sales & marketing as % of revenue - last 12 months
`expensesRevenuePercentageSmNtm`	NTM Sales & marketing as % of revenue - next 12 months
`expensesRevenuePercentageRdLtm`	LTM R&D as % of revenue - last 12 months
`expensesRevenuePercentageRdNtm`	NTM R&D as % of revenue - next 12 months
`expensesRevenuePercentageOpexLtm`	LTM Opex as % of revenue - last 12 months
`expensesRevenuePercentageOpexNtm`	NTM Opex as % of revenue - next 12 months
`expensesRevenuePercentageGaLtm`	LTM G&A as % of revenue - last 12 months
`expensesRevenuePercentageGaNtm`	NTM G&A as % of revenue

P/E ratios


`priceEarningsLtm`	LTM price-to-earnings - last 12 months
`priceEarningsNtm`	NTM price-to-earnings - next 12 months

SaaS ratios


`ruleOf40`	rule of 40
`ruleOfX`	Bessemer’s rule of X

On this page