How to find accelerating revenue with ChatGPT or Claude

A starting list for research. It does not recommend any trade.

902 companies matched. Of the ten fastest, these four had no recent acquisition. RHLD, FUBO, SITM, RYN and WS were left out because each completed an acquisition, and EQH because an insurer's revenue swings widely from year to year.

US stocks, ETFs and futures. The free plan runs 20 queries a day on daily bars; Pro adds intraday.

Paste these into the same chat, after the first answer, so your AI knows which results you mean.

• Did profit grow along with sales for these?

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• Did any of these complete an acquisition in the past year?

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• Chart these over the past year.

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• Any insider buying or selling in these over the past three months?

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Revenue is the money a company records from sales. It is accelerating here when its latest quarter grew faster from a year earlier than the preceding quarter did.

The rule Monk.trade uses: quarterly sales up from the same quarter a year earlier, by less than 300%, and growing faster than the quarter before did, with at least $50M of sales in that year-earlier quarter.

• Revenue up 25% or more

  “Using Monk.trade, keep the accelerating companies whose latest quarterly revenue rose at least 25% year over year. Keep the $50M prior-year base and growth cap below 300%.”

  Open in ChatGPT ↗Open in Claude ↗

  MonkQL

  from stocks
  let sales = facts(concept = "revenue", period = "quarterly")
  let year_ago = facts(concept = "revenue", period = "quarterly", back = "4")
  where year_ago.value >= 50000000 and sales.yoy > 0 and sales.yoy < 3 and sales.yoy > sales.yoy_before and sales.yoy >= 0.25
  show sales.value as revenue, 100 * sales.yoy as rev_growth, 100 * sales.yoy_before as prior_growth, year_ago.value as year_ago_rev
  sort rev_growth desc
  take 10
  

• Accelerating revenue near a 52-week high

  “Using Monk.trade, find accelerating quarterly revenue among stocks closing within 5% of their 52-week high. Keep the $50M prior-year base and growth cap below 300%.”

  Open in ChatGPT ↗Open in Claude ↗

  MonkQL

  from stocks
  let sales = facts(concept = "revenue", period = "quarterly")
  let year_ago = facts(concept = "revenue", period = "quarterly", back = "4")
  include close >= 0.95 * highest(high, 252)
  where year_ago.value >= 50000000 and sales.yoy > 0 and sales.yoy < 3 and sales.yoy > sales.yoy_before
  show sales.value as revenue, 100 * sales.yoy as rev_growth, 100 * sales.yoy_before as prior_growth, year_ago.value as year_ago_rev
  sort rev_growth desc
  take 10
  

1. Nov 6, 2026
   What raw revenue-growth screens get wrong, and how to filter quarterly sales

   Why raw quarterly revenue rankings fill up with tiny year-ago bases, license payments and recent acquisitions, and the filing checks that tell them apart.

• Nothing on this page is a signal to buy or sell. Prices can keep moving against you, and you can lose money.
• Reported figures can contain errors; each row links to its filing for checking.
• A missing or late report can leave the latest quarter out.
• Acquisitions and changes in reporting can lift sales without faster growth in the existing business. Ask your AI to check for a completed acquisition (8-K item 2.01) before trusting a big jump.
• Sales growth says nothing by itself about profit or the next share-price move.