Mobile QR & Barcode Scanning App Portfolio, 39.2M MAU

$13.8M

Revenue

$6.8M

SDE

6.2x

Multiple

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Full Editorial Writeup

This is a mobile app portfolio built around the QR and barcode scanning category, a utility function that sits on tens of millions of phones and gets used repeatedly without the operator having to re-acquire the user each time. The listing reports 39.2M monthly active users, which is a massive top-of-funnel and the real asset here: a utility that people open when they need to scan something, then convert into subscription or ad revenue at scale. The business generates roughly $13.76M in annual revenue and $6.8M in cash flow, implying an EBITDA margin near 49%, which is the kind of margin profile you expect from a lightweight app operation with modest headcount and no physical delivery.

QR and barcode scanning apps monetize primarily through a blend of subscription conversions (premium features, ad removal, batch scanning) and in-app advertising served against enormous session volume. With 39.2M MAU, even a low single-digit conversion rate or a modest ad RPM drives real dollars, and the recurring subscription layer gives the revenue a base that renews by default rather than being re-won each month.

The asking price of $42M against $6.8M of cash flow works out to a 6.18x multiple, which is full but not outrageous for an app portfolio with this scale and margin, provided the traffic and monetization are durable. The core risk is platform dependence: iOS and Android own the distribution, and native OS-level scanning has steadily commoditized this exact function. A buyer is really underwriting whether these 39.2M users keep opening these specific apps when the phone's own camera already scans a QR code.

Why we like it

Earnings quality is strong on paper: $6.8M of cash flow on $13.76M of revenue is a roughly 49% margin, the signature of an asset-light app business with minimal COGS and no inventory or fulfillment. If the subscription and ad revenue is clean and cash-converting, this throws off real free cash flow with little reinvestment required.
The distribution asset is the moat: 39.2M monthly active users is a top-of-funnel that would cost a fortune to rebuild from zero, and it took years of app store ranking and reviews to accumulate. Ranking momentum and installed base create switching inertia even in a commoditized utility category.
The revenue model leans recurring: subscription conversions renew by default and ad revenue compounds off recurring sessions rather than one-time purchases. That gives the top line a base that does not have to be fully re-won each month, unlike a one-off download-to-buy product.
Scanning is a genuine everyday utility, not a novelty, and usage tends to be habitual once an app owns a slot on the home screen. High session frequency is exactly what makes advertising and premium upsell economics work at this scale.

How to improve it

Audit and optimize the subscription funnel first: test paywall placement, pricing tiers, and trial mechanics against the full 39.2M MAU base. Even a 50 basis point lift in conversion across that many users moves cash flow materially and requires no new user acquisition spend.
Layer in higher-yield ad monetization by testing mediation stacks, rewarded video, and direct ad deals against the enormous session inventory. Most utility app operators leave RPM on the table by running a single network rather than a competitive waterfall.
Diversify the app portfolio beyond pure QR/barcode scanning into adjacent utilities (document scanning, PDF tools, file conversion) to cross-promote within the existing user base. Free installed distribution is the cheapest customer acquisition channel you will ever have.
Harden app store ranking defensibility through review generation, ASO keyword optimization, and localized listings in high-value markets. Ranking is the lifeblood of organic installs, and small ASO gains compound across a base this large.
Build first-party retention and re-engagement via push notifications and email capture to reduce dependence on fresh installs. Owning a direct channel to users insulates the business somewhat from platform algorithm changes.
Segment and re-price power users versus casual scanners to capture more value from the heaviest cohorts. B2B and bulk-scanning use cases can support far higher subscription prices than the mass-market consumer tier.

Diligence notes

Platform and OS commoditization is the central risk: native iOS and Android cameras now scan QR codes for free, which directly threatens the reason users download a standalone scanner. Pull multi-year MAU and install trends to see whether the user base is growing, flat, or quietly eroding.
Verify the revenue mix and its durability: get the exact split between subscription and advertising, the subscription churn and renewal rates, and ad RPM trends by network. Ad-heavy revenue is more fragile and can swing hard with a single platform policy change.
Confirm app store account standing, developer agreement compliance, and any history of app rejections, ranking penalties, or policy strikes. A suspended developer account or a delisted flagship app would wipe out the distribution asset overnight.
Scrutinize traffic and user quality for bot inflation, since 39.2M MAU is a large and easily gamed figure. Reconcile analytics platform data against app store console data and payment processor records to make sure the users, sessions, and dollars all tie out.
Clarify the reason for sale, location, team, and years in business, all of which are blank in the listing. Understand who maintains the apps, how many engineers are required, and whether any key technical person walks at close.
Test the 6.18x multiple against the concentration risk in a single app category: if one flagship scanner drives most of the 39.2M MAU and revenue, the effective diversification of a portfolio is illusory. Ask for revenue and MAU broken out by individual app.

Source

Originally listed on DealStream. View original listing →