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Lifemd, Inc.: gross profit

Lifemd gross profit: $166.3 million for the year ending 2025-12-31, up 24.7% on the year. 14 values since 2012 from SEC filings, each linked to its filing.

All Lifemd, Inc. financial histories

At a glance

Lifemd reported gross profit of $166.3 million for the year ending 2025-12-31, up 24.7% from $133.4 million a year earlier. From 2012 to 2025 it grew at a compound 57.0% a year, from $473.9 thousand to $166.3 million. Across the last five reported years it ranged from $74.9 million (2021-12-31) to $166.3 million (2025-12-31). That was 85.7% of revenue ($194.1 million) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.

Exact concept: us-gaap:GrossProfit. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2012-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Gross profit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31166,340,390USD2026-03-1010-K · 0001493152-26-009549 SEC
2024-01-012024-12-31133,383,276USD2026-03-1010-K · 0001493152-26-009549 SEC
2023-01-012023-12-31133,646,542USD2025-03-1110-K · 0001493152-25-009790 SEC
2022-01-012022-12-31100,365,492USD2024-03-1110-K · 0001493152-24-009581 SEC
2021-01-012021-12-3174,880,412USD2023-03-2210-K · 0001493152-23-008560 SEC
2020-01-012020-12-3128,432,724USD2022-03-0710-K · 0001493152-22-006182 SEC
2019-01-012019-12-319,943,270USD2021-03-3010-K · 0001493152-21-007194 SEC
2018-01-012018-12-316,327,907USD2020-03-3010-K · 0001493152-20-005288 SEC
2017-01-012017-12-312,663,951USD2019-04-0110-K · 0001213900-19-005312 SEC
2016-01-012016-12-313,292,549USD2018-04-0210-K · 0001213900-18-003893 SEC
2015-01-012015-12-31971,090USD2017-05-2410-K · 0001213900-17-005790 SEC
2014-01-012014-12-31541,308USD2016-03-3010-K · 0001213900-16-011978 SEC
2013-01-012013-12-31627,059USD2015-03-3010-K · 0001213900-15-002217 SEC
2012-01-012012-12-31473,870USD2014-03-2810-K · 0001213900-14-001835 SEC

Related LIFEMD, INC. histories

All 54 Lifemd histories

Inspect the source

Entity
LIFEMD, INC. / CIK 0000948320
Captured
SEC response SHA-256
78c33133d98137bc77be369f3fdf06a230aa44209734e0bf6c96639c34395268

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000948320.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))