Subscription Mobile Apps with $1M Revenue & $542K Profit

Acquire.com

This 7-year-old digital portfolio of subscription-based mobile apps offers investors a stable, high-margin opportunity in the $700B+ global app economy. Generating $1M in annual revenue and $542K in seller discretionary earnings (SDE), the business attracts 2.95 million monthly active users across a diversified suite of iOS and Android apps. The portfolio combines subscription, in-app purchase (IAP), and ad-driven monetization, creating a balanced revenue mix and consistent cash flow. Built ...

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Actual performance

$83,333/yr

Made the leaderboard

Traction signals

Asking price$1,800,000

Annual revenue$1,000,000

Annual profit$542,000

Revenue multiple1.8x

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, profit, margin · Missing: arr, mrr, saas

76%76% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: mobile apps, ios, apps · Missing: personal, entrepreneurs, video

73%73% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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