Duolingo (DUOL)
As of Oct 24, 2026, Kalshi has settled 14 word markets on Duolingo’s earnings calls since 2026, on 14 different words. Next call: Nov 3, 2026 (13 words listed).
Next: Earnings call ·
13 words listed · Occasion page
Who counts: Kalshi: company speakers + operator
Kalshi| Word | Q3’24Nov '24 | Q4’24Feb '25 | Q1’25May '25 | Q2’25Aug '25 | Q3’25year ago | Q4’25Feb '26 | Q1’26May '26 | Q2’26last call | Trend | Last 8 | Scripted | All-time | Probability | Market |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| China / Chinese | 1 time: China / Chinese, Q3’24 Nov '24, counts as said | 5 times: China / Chinese, Q4’24 Feb '25, counts as said | 1 time: China / Chinese, Q1’25 May '25, counts as said | 6 times: China / Chinese, Q2’25 Aug '25, counts as said | 10 times: China / Chinese, Q3’25 Nov '25, counts as said | 0 times: China / Chinese, Q4’25 Feb '26 | 14 times: China / Chinese, Q1’26 May '26, counts as said | 8 times: China / Chinese, Q2’26 Aug '26, counts as said | rising | 7/888% | 1/812% | 15/2171% | 92%n=1+tx from settlement history blended with transcripts | 74¢ Kalshi |
| Chess | 0 times: Chess, Q3’24 Nov '24 | 0 times: Chess, Q4’24 Feb '25 | 21 times: Chess, Q1’25 May '25, counts as said | 10 times: Chess, Q2’25 Aug '25, counts as said | 10 times: Chess, Q3’25 Nov '25, counts as said | 11 times: Chess, Q4’25 Feb '26, counts as said | 2 times: Chess, Q1’26 May '26, counts as said | 3 times: Chess, Q2’26 Aug '26, counts as said | steady | 6/875% | 3/838% | 8/2138% | 89%n=1+tx from settlement history blended with transcripts | 78¢ Kalshi |
| Music | 1 time: Music, Q3’24 Nov '24, counts as said | 6 times: Music, Q4’24 Feb '25, counts as said | 12 times: Music, Q1’25 May '25, counts as said | 11 times: Music, Q2’25 Aug '25, counts as said | 3 times: Music, Q3’25 Nov '25, counts as said | 1 time: Music, Q4’25 Feb '26, counts as said | 0 times: Music, Q1’26 May '26 | 6 times: Music, Q2’26 Aug '26, counts as said | falling | 7/888% | 5/862% | 11/2152% | 82%n=1+tx from settlement history blended with transcripts | 46¢ Kalshi |
| Free Trial | 0 times: Free Trial, Q3’24 Nov '24 | 0 times: Free Trial, Q4’24 Feb '25 | 0 times: Free Trial, Q1’25 May '25 | 0 times: Free Trial, Q2’25 Aug '25 | 0 times: Free Trial, Q3’25 Nov '25 | 0 times: Free Trial, Q4’25 Feb '26 | 12 times: Free Trial, Q1’26 May '26, counts as said | 6 times: Free Trial, Q2’26 Aug '26, counts as said | rising | 2/825% | 0/80% | 3/2114% | 79%n=1+tx from settlement history blended with transcripts | 74¢ Kalshi |
| Asia | 0 times: Asia, Q3’24 Nov '24 | 1 time: Asia, Q4’24 Feb '25, counts as said | 0 times: Asia, Q1’25 May '25 | 3 times: Asia, Q2’25 Aug '25, counts as said | 6 times: Asia, Q3’25 Nov '25, counts as said | 0 times: Asia, Q4’25 Feb '26 | 4 times: Asia, Q1’26 May '26, counts as said | 1 time: Asia, Q2’26 Aug '26, counts as said | rising | 5/862% | 0/80% | 13/2162% | 78%n=1+tx from settlement history blended with transcripts | 46¢ Kalshi |
| 100 Million | 1 time: 100 Million, Q3’24 Nov '24, counts as said | 0 times: 100 Million, Q4’24 Feb '25 | 0 times: 100 Million, Q1’25 May '25 | 1 time: 100 Million, Q2’25 Aug '25, counts as said | 0 times: 100 Million, Q3’25 Nov '25 | 4 times: 100 Million, Q4’25 Feb '26, counts as said | 0 times: 100 Million, Q1’26 May '26 | 4 times: 100 Million, Q2’26 Aug '26, counts as said | rising | 4/850% | 3/838% | 9/2143% | 72%n=1+tx from settlement history blended with transcripts | 46¢ Kalshi |
| Tutor | 0 times: Tutor, Q3’24 Nov '24 | 0 times: Tutor, Q4’24 Feb '25 | 0 times: Tutor, Q1’25 May '25 | 0 times: Tutor, Q2’25 Aug '25 | 1 time: Tutor, Q3’25 Nov '25, counts as said | 3 times: Tutor, Q4’25 Feb '26, counts as said | 3 times: Tutor, Q1’26 May '26, counts as said | 0 times: Tutor, Q2’26 Aug '26 | rising | 3/838% | 0/80% | 6/2129% | 45%n=1+tx from settlement history blended with transcripts | 46¢ Kalshi |
| 0 times: LinkedIn, Q3’24 Nov '24 | 0 times: LinkedIn, Q4’24 Feb '25 | 0 times: LinkedIn, Q1’25 May '25 | 1 time: LinkedIn, Q2’25 Aug '25, counts as said | 4 times: LinkedIn, Q3’25 Nov '25, counts as said | 0 times: LinkedIn, Q4’25 Feb '26 | 0 times: LinkedIn, Q1’26 May '26 | 0 times: LinkedIn, Q2’26 Aug '26 | steady | 2/825% | 0/80% | 2/2110% | 34%n=1+tx from settlement history blended with transcripts | 46¢ Kalshi | |
| ChatGPT | 0 times: ChatGPT, Q3’24 Nov '24 | 0 times: ChatGPT, Q4’24 Feb '25 | 0 times: ChatGPT, Q1’25 May '25 | 0 times: ChatGPT, Q2’25 Aug '25 | 2 times: ChatGPT, Q3’25 Nov '25, counts as said | 0 times: ChatGPT, Q4’25 Feb '26 | 1 time: ChatGPT, Q1’26 May '26, counts as said | 0 times: ChatGPT, Q2’26 Aug '26 | rising | 2/825% | 0/80% | 3/2114% | 31%n=1+tx from settlement history blended with transcripts | 28¢ Kalshi |
| Speaking Adventure | 0 times: Speaking Adventure, Q3’24 Nov '24 | 0 times: Speaking Adventure, Q4’24 Feb '25 | 0 times: Speaking Adventure, Q1’25 May '25 | 0 times: Speaking Adventure, Q2’25 Aug '25 | 0 times: Speaking Adventure, Q3’25 Nov '25 | 1 time: Speaking Adventure, Q4’25 Feb '26, counts as said | 1 time: Speaking Adventure, Q1’26 May '26, counts as said | 0 times: Speaking Adventure, Q2’26 Aug '26 | rising | 2/825% | 1/812% | 2/2110% | 27%n=1+tx from settlement history blended with transcripts | 46¢ Kalshi |
| Spotify | 0 times: Spotify, Q3’24 Nov '24 | 0 times: Spotify, Q4’24 Feb '25 | 0 times: Spotify, Q1’25 May '25 | 0 times: Spotify, Q2’25 Aug '25 | 0 times: Spotify, Q3’25 Nov '25 | 1 time: Spotify, Q4’25 Feb '26, counts as said | 1 time: Spotify, Q1’26 May '26, counts as said | 0 times: Spotify, Q2’26 Aug '26 | rising | 2/825% | 0/80% | 7/2133% | 27%n=1+tx from settlement history blended with transcripts | 32¢ Kalshi |
| Flashcard | 0 times: Flashcard, Q3’24 Nov '24 | 0 times: Flashcard, Q4’24 Feb '25 | 0 times: Flashcard, Q1’25 May '25 | 0 times: Flashcard, Q2’25 Aug '25 | 0 times: Flashcard, Q3’25 Nov '25 | 0 times: Flashcard, Q4’25 Feb '26 | 1 time: Flashcard, Q1’26 May '26, counts as said | 0 times: Flashcard, Q2’26 Aug '26 | steady | 1/812% | 1/812% | 1/215% | 20%n=1+tx from settlement history blended with transcripts | 46¢ Kalshi |
| McDonald's | 0 times: McDonald's, Q3’24 Nov '24 | 0 times: McDonald's, Q4’24 Feb '25 | 0 times: McDonald's, Q1’25 May '25 | 0 times: McDonald's, Q2’25 Aug '25 | 0 times: McDonald's, Q3’25 Nov '25 | 0 times: McDonald's, Q4’25 Feb '26 | 1 time: McDonald's, Q1’26 May '26, counts as said | 0 times: McDonald's, Q2’26 Aug '26 | steady | 1/812% | 0/80% | 1/215% | 20%n=1+tx from settlement history blended with transcripts | 46¢ Kalshi |
- times said on that call
- counted as said (ring)
- no call
- probability next time, with n
- Select a word or a cell for its quotes
What the columns mean
- Last N
- of the appearances shown, how many counted as said
- Trend
- how the count moved over these calls
- Scripted
- calls of the last 8 where it was said in the prepared remarks
- All-time
- every call on file
- Probability
- the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history
Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 22, 2026 23:09 UTC.
Every word
1–1 of 1, most settled first| Word | Q3’24Nov '24 | Q4’24Feb '25 | Q1’25May '25 | Q2’25Aug '25 | Q3’25Nov '25 | Q4’25Feb '26 | Q1’26May '26 | Q2’26last call | Trend | Last 8 | Scripted | All-time | Probability |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Luckin Coffee | 0 times: Luckin Coffee, Q3’24 Nov '24 | 0 times: Luckin Coffee, Q4’24 Feb '25 | 0 times: Luckin Coffee, Q1’25 May '25 | 1 time: Luckin Coffee, Q2’25 Aug '25, counts as said | 0 times: Luckin Coffee, Q3’25 Nov '25 | 0 times: Luckin Coffee, Q4’25 Feb '26 | 1 time: Luckin Coffee, Q1’26 May '26, counts as said | 0 times: Luckin Coffee, Q2’26 Aug '26 | steady | 2/825% | 0/80% | 2/2110% | 22%n=1+tx from settlement history blended with transcripts |
- times said on that call
- counted as said (ring)
- no call
- probability next time, with n
- Select a word or a cell for its quotes
What the columns mean
- Last N
- of the appearances shown, how many counted as said
- Trend
- how the count moved over these calls
- Scripted
- calls of the last 8 where it was said in the prepared remarks
- All-time
- every call on file
- Probability
- the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history
Appearances and settled record
latest 12Our transcript counts matched how 14 of 14 settled words resolved (100.0%). How we check.
| Date | Appearance | Text | Words | Settled | Our count agreed |
|---|---|---|---|---|---|
| Aug 5, 2026 | Earnings call FY26 Q2 | Speaker-labelled transcript | 14 | 6 yes · 8 no | 14/14 (100%) |
| May 4, 2026 | Earnings call FY26 Q1 | Speaker-labelled transcript | 0 | – | – |
| Feb 26, 2026 | Earnings call FY25 Q4 | Speaker-labelled transcript | 0 | – | – |
| Nov 5, 2025 | Earnings call FY25 Q3 | Speaker-labelled transcript | 0 | – | – |
| Aug 6, 2025 | Earnings call FY25 Q2 | Speaker-labelled transcript | 0 | – | – |
| May 2, 2025 | Earnings call FY25 Q1 | Speaker-labelled transcript | 0 | – | – |
| Feb 27, 2025 | Earnings call FY24 Q4 | Speaker-labelled transcript | 0 | – | – |
| Nov 6, 2024 | Earnings call FY24 Q3 | Speaker-labelled transcript | 0 | – | – |
| Aug 8, 2024 | Earnings call FY24 Q2 | Speaker-labelled transcript | 0 | – | – |
| May 8, 2024 | Earnings call FY24 Q1 | Speaker-labelled transcript | 0 | – | – |
| Feb 28, 2024 | Earnings call FY23 Q4 | Speaker-labelled transcript | 0 | – | – |
| Nov 8, 2023 | Earnings call FY23 Q3 | Speaker-labelled transcript | 0 | – | – |
Citeparrot.markets, “Duolingo (DUOL): earnings call word history”, as of Oct 24, 2026, https://parrot.markets/earnings/DUOL (CC BY 4.0)
Agents: this page as TSV at /api/v1/entity/duolingo · words: /api/v1/history?entity=duolingo · columnar JSON in #parrot-data · llms.txt · MCP