Will Factset Research Systems (FDS) beat quarterly earnings?

According to the latest prediction market data for the query “Will Factset Research Systems (FDS) beat quarterly earnings?”, traders have formed a strong consensus.

Currently, No is dominating the market with an overwhelming 57.5% chance of winning. Yes follows in second place at 42.5%. The betting volume for this specific market has already reached $798, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• No (57.5%): Currently commanding the highest probability, No is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 57¢, signaling a high degree of market conviction.

🥈 Tier 2: The Primary Challengers

• Yes (42.5%): Positioned as the most viable alternative, Yes maintains a 42.5% chance of resolving true. Its “Buy Yes” shares currently trade at 43¢.

As of market creation, Factset Research Systems is estimated to release earnings on July 1, 2026. The Street consensus estimate for Factset Research Systems’s non-GAAP EPS for the relevant quarter is $4.45 as of market creation. This market will resolve to "Yes" if Factset Research Systems reports non-GAAP EPS greater than $4.45 for the relevant quarter in its next quarterly earnings release. Otherwise, it will resolve to "No." The resolution source will be the non-GAAP EPS listed in the company’s official earnings documents.

If Factset Research Systems releases earnings without non-GAAP EPS, then the market will resolve according to the non-GAAP EPS figure reported by SeekingAlpha. If no such figure is published within 96h of market close (4:00:00pm ET) on the day earnings are announced, the market will resolve according to the GAAP EPS listed in the company’s official earnings documents; or, if not published there, according to the GAAP EPS provided by SeekingAlpha. If no GAAP EPS number is available from either source at that time, the market will resolve to “No.” (For the purposes of this market, GAAP EPS refers to diluted GAAP EPS, unless it is not published, in which case it refers to basic GAAP EPS.)

If the company does not release earnings within 45 calendar days of the estimated earnings date, this market will resolve to “No.”

Note: Subsequent restatements, corrections, or revisions made to the initially announced non-GAAP EPS figure will not qualify for resolution, except in the case of obvious and immediate mistakes (e.g., fat finger errors, as with Lyft's (LYFT) earnings release in February 2024).

Note: The strike prices used in these markets are derived from SeekingAlpha estimates, and reflect the consensus of sell-side analyst estimates for non-GAAP EPS.

Note: All figures will be rounded to the nearest cent using standard rounding.

Note: For the purposes of this market, IFRS EPS will be treated as GAAP EPS.

Note: If multiple versions of non-GAAP EPS are published, the market will resolve according to the primary headline non-GAAP EPS number, which is typically presented on a diluted basis. If diluted is not published, then basic non-GAAP EPS will qualify.

Note: All figures are expressed in USD, unless otherwise indicated.

Note: For primarily internationally listed companies, this market refers specifically to the shares traded in the United States on U.S. stock exchanges such as the NYSE or Nasdaq. In cases where the company trades in the U.S. through an American Depositary Receipt (ADR) or American Depositary Share (ADS), this market will refer to the ADR/ADS.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome No currently trades at 57.5%, but our AI places its Fair Value at just 19.5%. This creates a large negative EV Gap of -38%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Yes as the premium value opportunity on the board. While the market only assigns it a 42.5% trading probability, our AI’s Fair Value assessment sits at 80.5% — yielding an impressive +38% EV Gap.