Paramount (PSKY)

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As of Oct 23, 2026, Kalshi has settled 12 word markets on Paramount’s earnings calls since 2026, on 12 different words. Next call: Nov 9, 2026 (12 words listed).

Next: Earnings call ·

12 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Paramount: the words listed for Mon, Nov 9, how often each was said on past occasions, and the probability for this one
WordQ3’24Nov '24Q4’24Feb '25Q1’25May '25Q2’25Jul '25Q3’25year agoQ4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Subscriber12 times: Subscriber, Q3’24 Nov '24, counts as said13 times: Subscriber, Q4’24 Feb '25, counts as said8 times: Subscriber, Q1’25 May '25, counts as said9 times: Subscriber, Q2’25 Jul '25, counts as said9 times: Subscriber, Q3’25 Nov '25, counts as said1 time: Subscriber, Q4’25 Feb '26, counts as said11 times: Subscriber, Q1’26 May '26, counts as said12 times: Subscriber, Q2’26 Aug '26, counts as saidsteady8/8100%6/875%80/8396%94%n=1+tx from settlement history blended with transcripts94¢ Kalshi
UFC0 times: UFC, Q3’24 Nov '240 times: UFC, Q4’24 Feb '250 times: UFC, Q1’25 May '250 times: UFC, Q2’25 Jul '2514 times: UFC, Q3’25 Nov '25, counts as said12 times: UFC, Q4’25 Feb '26, counts as said14 times: UFC, Q1’26 May '26, counts as said7 times: UFC, Q2’26 Aug '26, counts as saidrising4/850%3/838%4/835%90%transcripts from the transcript model80¢ Kalshi
Netflix0 times: Netflix, Q3’24 Nov '240 times: Netflix, Q4’24 Feb '251 time: Netflix, Q1’25 May '25, counts as said0 times: Netflix, Q2’25 Jul '250 times: Netflix, Q3’25 Nov '250 times: Netflix, Q4’25 Feb '260 times: Netflix, Q1’26 May '267 times: Netflix, Q2’26 Aug '26, counts as saidrising2/825%2/825%43/8352%67%n=1+tx from settlement history blended with transcripts34¢ Kalshi
Dutton Ranch0 times: Dutton Ranch, Q3’24 Nov '240 times: Dutton Ranch, Q4’24 Feb '252 times: Dutton Ranch, Q1’25 May '25, counts as said1 time: Dutton Ranch, Q2’25 Jul '25, counts as said0 times: Dutton Ranch, Q3’25 Nov '250 times: Dutton Ranch, Q4’25 Feb '261 time: Dutton Ranch, Q1’26 May '26, counts as said2 times: Dutton Ranch, Q2’26 Aug '26, counts as saidrising4/850%3/838%4/835%55%transcripts from the transcript model58¢ Kalshi
Investment Grade0 times: Investment Grade, Q3’24 Nov '240 times: Investment Grade, Q4’24 Feb '250 times: Investment Grade, Q1’25 May '250 times: Investment Grade, Q2’25 Jul '253 times: Investment Grade, Q3’25 Nov '25, counts as said2 times: Investment Grade, Q4’25 Feb '26, counts as said0 times: Investment Grade, Q1’26 May '260 times: Investment Grade, Q2’26 Aug '26rising2/825%0/80%13/8316%54%n=1+tx from settlement history blended with transcripts70¢ Kalshi
Synergy0 times: Synergy, Q3’24 Nov '240 times: Synergy, Q4’24 Feb '250 times: Synergy, Q1’25 May '250 times: Synergy, Q2’25 Jul '250 times: Synergy, Q3’25 Nov '250 times: Synergy, Q4’25 Feb '260 times: Synergy, Q1’26 May '263 times: Synergy, Q2’26 Aug '26, counts as saidrising1/812%1/812%19/8323%51%n=1+tx from settlement history blended with transcripts56¢ Kalshi
Layoff / Headcount0 times: Layoff / Headcount, Q3’24 Nov '241 time: Layoff / Headcount, Q4’24 Feb '25, counts as said0 times: Layoff / Headcount, Q1’25 May '250 times: Layoff / Headcount, Q2’25 Jul '250 times: Layoff / Headcount, Q3’25 Nov '251 time: Layoff / Headcount, Q4’25 Feb '26, counts as said0 times: Layoff / Headcount, Q1’26 May '260 times: Layoff / Headcount, Q2’26 Aug '26steady2/825%1/812%14/8317%36%n=1+tx from settlement history blended with transcripts26¢ Kalshi
Regulation / Regulatory1 time: Regulation / Regulatory, Q3’24 Nov '24, counts as said0 times: Regulation / Regulatory, Q4’24 Feb '250 times: Regulation / Regulatory, Q1’25 May '250 times: Regulation / Regulatory, Q2’25 Jul '250 times: Regulation / Regulatory, Q3’25 Nov '250 times: Regulation / Regulatory, Q4’25 Feb '261 time: Regulation / Regulatory, Q1’26 May '26, counts as said0 times: Regulation / Regulatory, Q2’26 Aug '26steady2/825%2/825%14/8317%36%n=1+tx from settlement history blended with transcripts64¢ Kalshi
CNN0 times: CNN, Q3’24 Nov '240 times: CNN, Q4’24 Feb '250 times: CNN, Q1’25 May '250 times: CNN, Q2’25 Jul '250 times: CNN, Q3’25 Nov '250 times: CNN, Q4’25 Feb '261 time: CNN, Q1’26 May '26, counts as said0 times: CNN, Q2’26 Aug '26steady1/812%0/80%6/837%33%n=1+tx from settlement history blended with transcripts40¢ Kalshi
Pluto TV0 times: Pluto TV, Q3’24 Nov '240 times: Pluto TV, Q4’24 Feb '252 times: Pluto TV, Q1’25 May '25, counts as said0 times: Pluto TV, Q2’25 Jul '250 times: Pluto TV, Q3’25 Nov '250 times: Pluto TV, Q4’25 Feb '260 times: Pluto TV, Q1’26 May '260 times: Pluto TV, Q2’26 Aug '26falling1/812%1/812%20/8324%22%transcripts from the transcript model44¢ Kalshi
Antitrust / FTC / DOJ0 times: Antitrust / FTC / DOJ, Q3’24 Nov '240 times: Antitrust / FTC / DOJ, Q4’24 Feb '250 times: Antitrust / FTC / DOJ, Q1’25 May '250 times: Antitrust / FTC / DOJ, Q2’25 Jul '250 times: Antitrust / FTC / DOJ, Q3’25 Nov '250 times: Antitrust / FTC / DOJ, Q4’25 Feb '260 times: Antitrust / FTC / DOJ, Q1’26 May '260 times: Antitrust / FTC / DOJ, Q2’26 Aug '26steady0/80%0/80%2/832%21%n=1+tx from settlement history blended with transcripts50¢ Kalshi
HBO0 times: HBO, Q3’24 Nov '240 times: HBO, Q4’24 Feb '250 times: HBO, Q1’25 May '250 times: HBO, Q2’25 Jul '250 times: HBO, Q3’25 Nov '250 times: HBO, Q4’25 Feb '260 times: HBO, Q1’26 May '260 times: HBO, Q2’26 Aug '26steady0/80%0/80%17/8320%21%n=1+tx from settlement history blended with transcripts65¢ 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 20, 2026 15:46 UTC.

Every word

1–3 of 3, most settled first
Paramount: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Feb '25Q1’25May '25Q2’25Jul '25Q3’25Nov '25Q4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
RedBird0 times: RedBird, Q3’24 Nov '240 times: RedBird, Q4’24 Feb '250 times: RedBird, Q1’25 May '251 time: RedBird, Q2’25 Jul '25, counts as said0 times: RedBird, Q3’25 Nov '250 times: RedBird, Q4’25 Feb '260 times: RedBird, Q1’26 May '260 times: RedBird, Q2’26 Aug '26steady1/812%1/812%2/832%26%n=1+tx from settlement history blended with transcripts
Trump / Administration0 times: Trump / Administration, Q3’24 Nov '240 times: Trump / Administration, Q4’24 Feb '250 times: Trump / Administration, Q1’25 May '250 times: Trump / Administration, Q2’25 Jul '250 times: Trump / Administration, Q3’25 Nov '250 times: Trump / Administration, Q4’25 Feb '260 times: Trump / Administration, Q1’26 May '260 times: Trump / Administration, Q2’26 Aug '26steady0/80%0/80%5/836%13%n=1+tx from settlement history blended with transcripts
Library2 times: Library, Q3’24 Nov '24, counts as said1 time: Library, Q4’24 Feb '25, counts as said2 times: Library, Q1’25 May '25, counts as said2 times: Library, Q2’25 Jul '25, counts as said2 times: Library, Q3’25 Nov '25, counts as said0 times: Library, Q4’25 Feb '261 time: Library, Q1’26 May '26, counts as said2 times: Library, Q2’26 Aug '26, counts as saidsteady7/888%6/875%64/8377%64%n=1+tx from settlement history blended with transcripts
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 12

Settled results come from the venues. Our own transcript counts appear here once transcripts arrive for these appearances. How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Aug 4, 2026Earnings call FY26 Q2Speaker-labelled transcript0––
May 4, 2026Earnings call FY26 Q1Speaker-labelled transcript0––
Feb 25, 2026Earnings call FY25 Q4Speaker-labelled transcript0––
Nov 10, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Jul 31, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
May 8, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 26, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Nov 8, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 8, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 29, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 28, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 2, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

Citeparrot.markets, “Paramount (PSKY): earnings call word history”, as of Oct 23, 2026, https://parrot.markets/earnings/PSKY (CC BY 4.0)

Agents: this page as TSV at /api/v1/entity/paramount · words: /api/v1/history?entity=paramount · columnar JSON in #parrot-data · llms.txt · MCP