Meta (META): FY26 Q2 earnings call, Jul 29, 2026
On its Jul 29, 2026 earnings call (FY26 Q2), Meta said 9 of the 28 words Kalshi and Polymarket listed; Parrot’s count agreed with all 28 settlements. Quotes below are at most 25 words each, with timed clips.
UpdatedMarkets
28 words · 9 settled yes · our count agreed on 28 of 28- Kalshi: company speakers + operator
Kalshi - Polymarket: anyone
Polymarket
backtest The probabilities on settled rows are a walk-forward backtest: the model as of before each event, computed after Parrot went live; they were not published at the time.
| Word | Result | Our count | All speakers | Agrees | Probability | Clip | Market |
|---|---|---|---|---|---|---|---|
| AI / Artificial Intelligence 30+ times | Yes | 44 | 44 | ✓ | 76%transcripts from the transcript model | Hear it 2:45, AI / Artificial Intelligence 30+ times | – |
| Quarter 15+ times | Yes | 17 | 17 | ✓ | 59%transcripts from the transcript model | Hear it 0:06, Quarter 15+ times | – |
| Revenue 5+ times | Yes | 16 | 16 | ✓ | 86%transcripts from the transcript model | Hear it 3:05, Revenue 5+ times | – |
| Facebook 10+ times | Yes | 12 | 12 | ✓ | 70%transcripts from the transcript model | Hear it 1:59, Facebook 10+ times | – |
| Reality Lab | Yes | 1 | 1 | ✓ | 88%transcripts from the transcript model | Hear it 14:06, Reality Lab | – |
| Cloud | Yes | 1 | 1 | ✓ | 83%n=3+tx from settlement history blended with transcripts | Hear it 15:23, Cloud | – |
| Silicon | Yes | 1 | 2 | ✓ | 57%transcripts from the transcript model | Hear it 27:46, Silicon | – |
| World Cup | Yes | 1 | 1 | ✓ | 20%transcripts from the transcript model | Hear it 2:11, World Cup | – |
| Advertising | Yes | 0 | 1 | ✓ | 72%n=3+tx from settlement history blended with transcripts | – | |
| Expense 10+ times | No | 7 | 7 | ✓ | 50%transcripts from the transcript model | Hear it 14:30, Expense 10+ times | – |
| Hiring | No | 0 | 0 | ✓ | 85%n=3+tx from settlement history blended with transcripts | – | |
| Ray-Ban | No | 0 | 0 | ✓ | 80%n=4+tx from settlement history blended with transcripts | – | |
| Oakley | No | 0 | 0 | ✓ | 63%n=3+tx from settlement history blended with transcripts | – | |
| VR / Virtual Reality | No | 0 | 0 | ✓ | 62%n=4+tx from settlement history blended with transcripts | – | |
| Algorithm | No | 0 | 0 | ✓ | 58%n=3+tx from settlement history blended with transcripts | – | |
| Llama | No | 0 | 0 | ✓ | 57%n=4+tx from settlement history blended with transcripts | – | |
| Metaverse | No | 0 | 0 | ✓ | 55%n=1+tx from settlement history blended with transcripts | – | |
| Dividend | No | 0 | 0 | ✓ | 49%n=3+tx from settlement history blended with transcripts | – | |
| Orion | No | 0 | 0 | ✓ | 35%n=4+tx from settlement history blended with transcripts | – | |
| UK / United Kingdom | No | 0 | 0 | ✓ | 26%transcripts from the transcript model | – | |
| Anthropic | No | 0 | 0 | ✓ | 26%transcripts from the transcript model | – | |
| Louisiana | No | 0 | 0 | ✓ | 26%transcripts from the transcript model | – | |
| Hyperion | No | 0 | 0 | ✓ | 18%n=3+tx from settlement history blended with transcripts | – | |
| Age Verification | No | 0 | 0 | ✓ | 16%transcripts from the transcript model | – | |
| Nebius | No | 0 | 0 | ✓ | 16%transcripts from the transcript model | – | |
| Prediction Market / Kalshi | No | 0 | 0 | ✓ | 16%transcripts from the transcript model | – | |
| TikTok | No | 0 | 0 | ✓ | 13%n=4+tx from settlement history blended with transcripts | – | |
| SAM | No | 0 | 0 | ✓ | 11%n=2+tx from settlement history blended with transcripts | – |
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 21, 2026 04:22 UTC.
Transcript
quotes of at most 25 wordsSpeaker-labelled transcript · Source and credits · Used to count words; quotes of at most 25 words.
16 matches for “Muse”; 5 quoted, at least 25 words apart.
…and engaging content that better reflects people's goals and interests. Our new Muse Image and Muse Video models will also dramatically expand the universe of…
…creative solutions that help advertisers translate performance data into their creative decisions. Muse Image is going to supercharge this. The model can analyze images, improve…
…Superintelligence Labs, our trajectory is strong. In the last month, we shipped Muse Spark 1.1 and Muse Image. Since we rebuilt Meta AI and integrated…
…also building out features to make it easier for enterprises to adopt Muse Spark. That is an area that we expect to continue focusing on.…
…we designed with Kylie Jenner. They're the first glasses to ship with Muse Spark out of the box so that they can understand what you're…
Where the listed words were said
…massive. First, we are now at a point where our investments in AI are accelerating every major part of our core business. They're improving the…
…At this time, I would like to welcome everyone to Meta's second quarter 2026 earnings conference call. All lines have been placed on mute to…
…that will be the foundation for our next wave of products and revenue lines in the months and years ahead. Third, we see a large…
…crossed 500 million monthly actives, making it the fastest-growing conversation app ever. Facebook has reached more than 2 billion daily actives for a while now.…
…year-over-year, driven primarily by WhatsApp paid messaging and subscriptions revenue. Within our Reality Labs segment, Q2 revenue was $431 million, up 16% year-over-year due to…
…cost was driven by higher depreciation, data center operating costs, and third-party cloud spend. We ended Q2 with over 75,000 employees down 3% from Q1.…
…we have been making strategic investments in areas like our internal custom silicon effort, which will provide long-term strategic flexibility and supply chain leverage. This…
Agents: this page as TSV at /api/v1/appearances/meta:2026-07-29:earnings_call · words: /api/v1/brief?appearance=meta:2026-07-29:earnings_call · columnar JSON in #parrot-data · llms.txt · MCP