TOTAL VOLUME:
$147.8b
24H VOL:
$153,964,051
24H TRANSACTIONS:
2,815,744,871
OPEN INTEREST:
$1,809,858,743
498,684
Markets across
37,244
events
MATCHED EVENTS:
2,831
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
$
Amazon's total employee count (full-time and part-time, excluding contractors and temps) for Q3 2026 will be assessed against thresholds from 1.54 million to 1.68 million workers. The official quarterly report provides the data for resolution.
Resolution depends on Amazon.com Inc.'s officially reported employee count (full-time and part-time, excluding contractors/temps) for Q3 2026. Sequential thresholds from 1.54 million to 1.68 million workers determine market outcomes, with each market resolving to Yes if the reported figure exceeds its specific threshold. The highest met threshold dictates final resolution across all markets.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the price through continuous bidding and asking, with the current top outcome displaying a chance of 98.0%. The market’s price history reflects all recent trades and provides a live indicator of collective belief about Amazon’s Q3 employee count. Volume of $68,666 shows overall interest, while any gaps or spikes in pricing often follow major news that could affect hiring or layoffs in the sector.
This market resolves around Feb 25, 2027, with the outcome confirmed once the event is verifiable from credible public reporting. The final headcount figure will be compared against the market’s defined categories, and the result will be finalized based on widely accepted public records.
Several signals could shift expectations for this market before Feb 25, 2027. Key catalysts include Amazon’s official earnings releases, workforce announcements such as large hiring drives or restructuring plans, macroeconomic data influencing tech spending, and sector-wide trends reported by competitors. Any surprise guidance from management during conferences or interviews may also cause rapid repricing as traders adjust their bets based on new information.