A marketplace can look broad when its characteristics are viewed one at a time. In the August 2026 inventory analyzed by Digital Deal Research, almost half of listings were priced at $250,000 or less, just over half reported at least $10,000 in monthly profit, and nearly seven in ten reported owner workloads of 10 hours per week or less.

But those figures describe different parts of the market.

A buyer cannot separately purchase the market’s median price, median income and median workload. Those characteristics belong to different listings. Once several requirements must be satisfied by the same business, the practical opportunity set becomes much smaller.

That intersection is the central focus of this report.

Digital Deal Research analyzed 180 businesses publicly listed for sale in a frozen marketplace snapshot dated August 29, 2026. The report examines asking prices, reported revenue and profit, seller-reported workload, listing multiples and business-model economics. All August-specific statistics below come from that frozen dataset, so the historical report will not change when live inventory changes.

All figures describe listing and asking economics, not completed transaction prices.

August 2026 at a glance

Metric August 2026
Listings analyzed 180
Median asking price $280,719
Median monthly revenue $31,444
Median monthly profit $10,055
Median listing multiple 30× monthly
Median simple payback* 30 months
Median seller-reported workload 9.5 hours/week
Median profit margin 33.5%

*Simple payback is asking price divided by reported monthly profit. At a 30× monthly multiple, the arithmetic payback is 30 months if profit remains unchanged. It excludes taxes, financing, working capital, reinvestment, future capital requirements and changes in earnings.

These medians establish the broad shape of the inventory, but the median business does not actually exist. The useful question is how the market changes when a buyer applies real constraints.

The lower-budget end is relatively narrow

Only 26 of the 180 listings were priced at $100,000 or below. A $250,000 ceiling brought 81 listings into range, while a $500,000 ceiling covered 124.

Maximum asking price Listings Share of inventory
$50,000 2 1.1%
$100,000 26 14.4%
$250,000 81 45.0%
$500,000 124 68.9%

This is not evidence that online businesses in general are expensive or inexpensive. It is a narrower observation: within this marketplace snapshot, the sub-$100,000 acquisition segment was thin relative to the total inventory.

That matters because a buyer’s capital ceiling determines the universe before other preferences are considered. A low asking price can also imply a smaller earnings base, greater owner dependence, more concentration or a business that simply falls outside the higher-value part of this marketplace. Price alone does not explain which of those is true.

Reported income is abundant when viewed independently

The income distribution looks much broader than the low-budget distribution.

Minimum reported monthly profit Listings Share of inventory
$3,000 163 90.6%
$5,000 136 75.6%
$10,000 91 50.6%
$25,000 42 23.3%

More than three quarters of listings reported at least $5,000 in monthly profit, and just over half reported at least $10,000.

A buyer looking only at this table could reasonably conclude that meaningful earnings are widely available. The problem is that the earnings threshold and the budget threshold do not necessarily identify the same businesses.

The accessibility gap appears when constraints are combined

Digital Deal Research applied several deterministic screens to the frozen 180-listing dataset.

Buyer screen Matching listings Share of inventory
≤$100K asking + ≥$5K monthly profit 1 0.6%
≤$250K asking + ≥$10K monthly profit 8 4.4%
≤$250K asking + ≥$10K profit + ≤10h/week 5 2.8%
≤$500K asking + ≥$10K profit + ≤10h/week 22 12.2%

This is the clearest finding in the August snapshot.

Individually, 45% of listings were priced at $250,000 or less, 50.6% reported at least $10,000 in monthly profit, and 68.9% reported no more than 10 owner hours per week. Yet only five listings — 2.8% of the inventory — satisfied all three conditions at once.

Raising the budget ceiling to $500,000 expanded that group to 22 listings. The practical market therefore changes non-linearly as constraints are added or relaxed.

This is why a useful acquisition screen cannot be reduced to one headline median. A buyer’s actual opportunity set is the intersection of budget, required income, workload tolerance, business model and risk characteristics.

Seller-reported workload looks low across much of the inventory

Maximum owner workload Listings Share of inventory
5 hours/week 68 37.8%
10 hours/week 124 68.9%
20 hours/week 157 87.2%

Nearly seven in ten listings report owner involvement of 10 hours per week or less.

That can be useful for initial screening, especially for buyers who do not want to acquire another full-time operating role. But workload is one of the fields that deserves careful diligence. Seller-reported hours may not capture undocumented exception handling, owner expertise, deferred maintenance, team supervision, growth work or tasks that become more time-consuming after a transfer.

For screening, owner hours describe the seller’s stated operating burden. For underwriting, the buyer needs to reconstruct the actual workflow.

Asking multiples cluster around 30× monthly profit

The median listing multiple in the frozen snapshot is 30× monthly earnings.

Monthly listing multiple Listings
20× or below 21
21×–25× 26
26×–30× 57
31×–35× 40
Above 35× 36

Empire Flippers describes its listing-price convention as average monthly net profit multiplied by a listing multiple, generally using a trailing earnings period. DDR preserves that monthly convention when reporting marketplace multiples.

A 30× monthly multiple is economically equivalent to 2.5× annualized profit when monthly profit is simply multiplied by 12. It also implies a 30-month simple payback at unchanged earnings. Those are different representations of the same asking-price relationship, not different valuations.

The multiple says nothing by itself about whether the earnings are stable, concentrated, capital-intensive or dependent on the owner. That becomes particularly visible when the inventory is split by business model.

Business-model composition is concentrated but overlapping

The largest current monetization cohorts in the frozen snapshot were Amazon FBA and eCommerce, followed by Digital Product, Subscription, YouTube, Amazon FBM and several smaller models.

Business model Listings
Amazon FBA 74
eCommerce 51
Digital Product 19
Subscription 16
YouTube 16
Amazon FBM 15
Agency 12
Affiliate 11
Display Advertising 11
Amazon KDP 10
Service 10
SaaS 9

The categories are not mutually exclusive. A business can use Amazon FBA and its own ecommerce channel, or combine affiliate revenue with display advertising. Cohort counts therefore must not be summed as market shares.

Different models can carry similar multiples but very different economics

Selected larger cohorts show why the multiple is only one layer of comparison.

Model Listings Median ask Median monthly profit Median multiple Median workload Median margin
Amazon FBA 74 $269K $9,988 31× 6h 19%
eCommerce 51 $374K $14,975 30× 10h 25%
Digital Product 19 $228K $9,802 26× 10h 51%
Subscription 16 $314K $10,083 30.5× 10h 39.5%
YouTube 16 $140K $5,144 26.5× 10h 89.5%
Amazon FBM 15 $777K $24,351 33× 20h 22%
Agency 12 $246K $11,389 27× 8.5h 47.5%
Affiliate 11 $286K $9,518 30× 12h 86%
Display Advertising 11 $181K $6,230 26× 10h 86%
SaaS 9 $370K $13,029 30× 9h 67%

Physical-commerce cohorts generally show lower margins than several content and software cohorts in this particular inventory, while asking multiples often remain in a much narrower band. That does not establish industry-wide economics or prove that one model is superior. It shows that buyers can encounter materially different operating structures behind superficially similar profit multiples.

For example, a lower-margin inventory business may require procurement, working capital and fulfillment management. A high-margin content business may instead carry traffic, creator or platform concentration. Both can appear at comparable profit multiples while presenting very different diligence questions.

What stands out in the August cross-section

Three conclusions are especially useful.

First, the available market becomes much smaller once realistic buyer constraints are combined. This is the most important distinction between a marketplace dashboard and an acquisition decision framework.

Second, asking multiples are more compressed than operating economics. Businesses with very different margins, workload and revenue structures can sit around similar monthly profit multiples. The multiple is therefore a price-to-earnings descriptor, not a complete measure of quality.

Third, workload deserves the same scrutiny as financial metrics. A business can meet a buyer’s price and income requirements but still fail the acquisition thesis if the owner role is difficult to transfer or substantially larger than the seller-reported hours imply.

What this baseline does not tell us

The report has clear boundaries.

  • It measures listings, not completed transactions. Asking price and asking multiple do not tell us the final negotiated price or whether a listing will sell.
  • It uses seller-reported operating figures. DDR normalizes and analyzes marketplace data but does not independently audit every listing’s financials or workload.
  • It covers one marketplace. The results describe the Empire Flippers For Sale inventory available in the frozen snapshot, not the global population of online businesses.
  • Business-model cohorts overlap. A listing can appear in several monetization categories.
  • It is a cross-sectional baseline. August 2026 is the first frozen DDR monthly snapshot, so this report does not compare August with an earlier DDR month.

Future frozen snapshots can make comparable changes in price, profit, multiples, workload and market composition measurable. This report intentionally does not infer those trends before the historical series exists.

Methodology and current market

Marketplace information originates from Empire Flippers’ public API. Digital Deal Research independently performs its own normalization, calculations, organization and analysis and is not owned, operated or endorsed by Empire Flippers.

For the current, changing inventory, see Current Market Intelligence. To screen listings against budget, income, workload and business-model preferences, use the Finder. Calculation definitions and data limitations are documented in Methodology.

Source List

  1. Methodology — Digital Deal Research Supports: DDR calculation definitions, data conventions and analytical limitations.
  2. Current Market Intelligence — Digital Deal Research Supports: DDR marketplace-intelligence context. Historical August figures in this corpus come from the separately frozen 2026-08 snapshot rather than the changing live page.
  3. How to Buy a Website FAQ — Empire Flippers Supports: Empire Flippers’ listing-price convention: monthly net profit multiplied by a listing multiple, normally using a trailing earnings period.