Zscaler (ZS)

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As of Oct 23, 2026, Kalshi has settled 13 word markets on Zscaler’s earnings calls since 2026, on 13 different words. Next call: Nov 24, 2026 (12 words listed).

Next: Earnings call ·

12 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

Zscaler: the words listed for Tue, Nov 24, how often each was said on past occasions, and the probability for this one
WordQ1’25Dec '24Q2’25Mar '25Q3’25May '25Q4’25Sep '25Q1’26year agoQ2’26Feb '26Q3’26May '26Q4’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Breach2 times: Breach, Q1’25 Dec '24, counts as said1 time: Breach, Q2’25 Mar '25, counts as said0 times: Breach, Q3’25 May '251 time: Breach, Q4’25 Sep '25, counts as said3 times: Breach, Q1’26 Nov '25, counts as said2 times: Breach, Q2’26 Feb '26, counts as said4 times: Breach, Q3’26 May '26, counts as said6 times: Breach, Q4’26 Sep '26, counts as saidrising7/888%6/875%16/3447%85%n=1+tx from settlement history blended with transcripts74¢ Kalshi
Tailwind0 times: Tailwind, Q1’25 Dec '241 time: Tailwind, Q2’25 Mar '25, counts as said0 times: Tailwind, Q3’25 May '251 time: Tailwind, Q4’25 Sep '25, counts as said2 times: Tailwind, Q1’26 Nov '25, counts as said0 times: Tailwind, Q2’26 Feb '261 time: Tailwind, Q3’26 May '26, counts as said6 times: Tailwind, Q4’26 Sep '26, counts as saidrising5/862%5/862%18/3453%76%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Claude / Anthropic0 times: Claude / Anthropic, Q1’25 Dec '240 times: Claude / Anthropic, Q2’25 Mar '250 times: Claude / Anthropic, Q3’25 May '250 times: Claude / Anthropic, Q4’25 Sep '250 times: Claude / Anthropic, Q1’26 Nov '251 time: Claude / Anthropic, Q2’26 Feb '26, counts as said1 time: Claude / Anthropic, Q3’26 May '26, counts as said1 time: Claude / Anthropic, Q4’26 Sep '26, counts as saidrising3/838%2/825%3/349%56%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Google0 times: Google, Q1’25 Dec '240 times: Google, Q2’25 Mar '250 times: Google, Q3’25 May '250 times: Google, Q4’25 Sep '250 times: Google, Q1’26 Nov '252 times: Google, Q2’26 Feb '26, counts as said0 times: Google, Q3’26 May '261 time: Google, Q4’26 Sep '26, counts as saidrising2/825%2/825%9/3426%53%n=1+tx from settlement history blended with transcripts46¢ Kalshi
SquareX0 times: SquareX, Q1’25 Dec '240 times: SquareX, Q2’25 Mar '250 times: SquareX, Q3’25 May '250 times: SquareX, Q4’25 Sep '250 times: SquareX, Q1’26 Nov '252 times: SquareX, Q2’26 Feb '26, counts as said1 time: SquareX, Q3’26 May '26, counts as said0 times: SquareX, Q4’26 Sep '26rising2/825%1/812%2/346%30%n=1+tx from settlement history blended with transcripts46¢ Kalshi
MCP0 times: MCP, Q1’25 Dec '240 times: MCP, Q2’25 Mar '250 times: MCP, Q3’25 May '251 time: MCP, Q4’25 Sep '25, counts as said1 time: MCP, Q1’26 Nov '25, counts as said1 time: MCP, Q2’26 Feb '26, counts as said0 times: MCP, Q3’26 May '260 times: MCP, Q4’26 Sep '26steady3/838%3/838%3/349%29%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Public Sector0 times: Public Sector, Q1’25 Dec '241 time: Public Sector, Q2’25 Mar '25, counts as said0 times: Public Sector, Q3’25 May '250 times: Public Sector, Q4’25 Sep '250 times: Public Sector, Q1’26 Nov '250 times: Public Sector, Q2’26 Feb '261 time: Public Sector, Q3’26 May '26, counts as said0 times: Public Sector, Q4’26 Sep '26steady2/825%2/825%15/3444%22%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Aston Martinnever said0 times: Aston Martin, Q1’25 Dec '240 times: Aston Martin, Q2’25 Mar '250 times: Aston Martin, Q3’25 May '250 times: Aston Martin, Q4’25 Sep '250 times: Aston Martin, Q1’26 Nov '250 times: Aston Martin, Q2’26 Feb '260 times: Aston Martin, Q3’26 May '260 times: Aston Martin, Q4’26 Sep '26steady0/80%0/80%0/340%11%n=1+tx from settlement history blended with transcripts29¢ Kalshi
CrowdStrike0 times: CrowdStrike, Q1’25 Dec '240 times: CrowdStrike, Q2’25 Mar '250 times: CrowdStrike, Q3’25 May '250 times: CrowdStrike, Q4’25 Sep '250 times: CrowdStrike, Q1’26 Nov '250 times: CrowdStrike, Q2’26 Feb '260 times: CrowdStrike, Q3’26 May '260 times: CrowdStrike, Q4’26 Sep '26steady0/80%0/80%8/3424%11%n=1+tx from settlement history blended with transcripts38¢ Kalshi
Headwind0 times: Headwind, Q1’25 Dec '240 times: Headwind, Q2’25 Mar '250 times: Headwind, Q3’25 May '250 times: Headwind, Q4’25 Sep '250 times: Headwind, Q1’26 Nov '250 times: Headwind, Q2’26 Feb '260 times: Headwind, Q3’26 May '260 times: Headwind, Q4’26 Sep '26steady0/80%0/80%8/3424%11%n=1+tx from settlement history blended with transcripts18¢ Kalshi
Nvidianever said0 times: Nvidia, Q1’25 Dec '240 times: Nvidia, Q2’25 Mar '250 times: Nvidia, Q3’25 May '250 times: Nvidia, Q4’25 Sep '250 times: Nvidia, Q1’26 Nov '250 times: Nvidia, Q2’26 Feb '260 times: Nvidia, Q3’26 May '260 times: Nvidia, Q4’26 Sep '26steady0/80%0/80%0/340%11%n=1+tx from settlement history blended with transcripts50¢ Kalshi
Wiznever said0 times: Wiz, Q1’25 Dec '240 times: Wiz, Q2’25 Mar '250 times: Wiz, Q3’25 May '250 times: Wiz, Q4’25 Sep '250 times: Wiz, Q1’26 Nov '250 times: Wiz, Q2’26 Feb '260 times: Wiz, Q3’26 May '260 times: Wiz, Q4’26 Sep '26steady0/80%0/80%0/340%11%n=1+tx from settlement history blended with transcripts30¢ 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 23, 2026 00:06 UTC.

Every word

1–1 of 1, most settled first
Zscaler: every word with settled markets, most settled first
WordQ1’25Dec '24Q2’25Mar '25Q3’25May '25Q4’25Sep '25Q1’26Nov '25Q2’26Feb '26Q3’26May '26Q4’26last callTrendLast 8ScriptedAll-timeProbability
SPLX0 times: SPLX, Q1’25 Dec '240 times: SPLX, Q2’25 Mar '250 times: SPLX, Q3’25 May '250 times: SPLX, Q4’25 Sep '255 times: SPLX, Q1’26 Nov '25, counts as said0 times: SPLX, Q2’26 Feb '260 times: SPLX, Q3’26 May '260 times: SPLX, Q4’26 Sep '26steady1/812%1/812%1/343%33%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

Our transcript counts matched how 13 of 13 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Sep 3, 2026Earnings call FY26 Q4Speaker-labelled transcript134 yes · 9 no13/13 (100%)
May 26, 2026Earnings call FY26 Q3Speaker-labelled transcript0––
Feb 27, 2026Earnings call FY26 Q2Speaker-labelled transcript0––
Nov 25, 2025Earnings call FY26 Q1Speaker-labelled transcript0––
Sep 2, 2025Earnings call FY25 Q4Speaker-labelled transcript0––
May 29, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Mar 5, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Dec 2, 2024Earnings call FY25 Q1Speaker-labelled transcript0––
Sep 3, 2024Earnings call FY24 Q4Speaker-labelled transcript0––
May 30, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Feb 29, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Nov 27, 2023Earnings call FY24 Q1Speaker-labelled transcript0––

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

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