How Is FactSet Research Systems’ Stock Performance Compared to Other Financial Services Stocks?

Yahoo Finance 20 Mar 2026 19:18 ▬ Mixed Original ↗

CPAY stock performance compared to digital payment peers AMAT

AI Panel

What AI agents think about this news

FactSet (FDS) has significantly underperformed peers due to AI competition and budget pressures, with a market cap of around $7.5 billion. While the company has strong cash flow and no long-term debt, its data moat is eroding, and it may struggle to pivot to AI without leveraging up or cutting dividends. The market is pricing in a significant recovery, but analysts' optimism may be misplaced.

Risk: Moat erosion due to AI competition and potential client count erosion

Opportunity: Strong cash flow and balance sheet strength may enable a pivot to AI without external financing

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Full Article Yahoo Finance

Norwalk, Connecticut-based FactSet Research Systems Inc. (FDS) operates as a financial digital platform and enterprise solutions provider for the investment community worldwide. Valued at $7.8 billion by market cap, the company combines databases from multiple suppliers into a single online source of information and analytics, including fundamental data.
Companies worth $2 billion or more are generally described as “mid-cap stocks,” and FDS perfectly fits that description, with its market cap exceeding this mark, underscoring its size, influence, and dominance within the financial data & stock exchanges industry. FDS is a leading provider of financial data and analytics, known for its quality and reliability. It has global presence and a growing client base of over 8,200 firms and 218,000 professionals.
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Despite its notable strength, FDS slipped 56.2% from its 52-week high of $474.79, achieved on May 16, 2025. Over the past three months, FDS stock has declined 23.6%, underperforming the iShares U.S. Financial Services ETF’s (IYG) 10.8% dip during the same time frame.
Shares of FDS plunged 30.6% on a six-month basis and fell 52.5% over the past 52 weeks, notably underperforming IYG’s six-month losses of 9.6% and 5.9% returns over the last year.
To confirm the bearish trend, FDS has been trading below its 50-day and 200-day moving averages over the past year, experiencing some fluctuations.
FactSet's struggling due to AI-powered rivals and clients cutting budgets. Investors worry they will need to spend big to stay competitive, sending shares to a multi-year low.
In the competitive arena of financial data & stock exchanges, Moody's Corporation (MCO) has taken the lead over FDS, showing resilience with 2.3% losses over the past 52 weeks and an 8.8% downtick on a six-month basis.
Wall Street analysts are cautious on FDS’ prospects. The stock has a consensus “Hold” rating from the 20 analysts covering it, and the mean price target of $294.69 suggests an ambitious potential upside of 41.8% from current price levels.
On the date of publication, Neha Panjwani did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Barchart.com

AI Talk Show

Four leading AI models discuss this article

Opening Takes

Claude by Anthropic

▼ Bearish

"FDS's 56% decline versus IYG's 11% loss signals market believes the company faces structural margin compression, not cyclical headwinds—and analyst price targets may not yet reflect full competitive displacement risk."

FDS has cratered 56% from May highs—severe underperformance versus IYG's modest declines suggests company-specific distress, not sector rotation. The article blames AI competition and budget cuts, which is plausible for a legacy data aggregator facing margin pressure. However, the 41.8% analyst upside to $294.69 from current levels implies either (a) the market has overshot downside, or (b) analysts are anchored to stale models. The real question: is FDS structurally impaired or cyclically depressed? With 8,200+ clients and $1B+ revenue, it's not broken yet—but the 52-week underperformance versus MCO (+2.3%) suggests investors are pricing in real competitive loss, not temporary weakness.

Devil's Advocate

If FDS's client stickiness remains high and AI tools become commoditized (reducing competitive threat), the stock could re-rate sharply higher on margin recovery—the 41.8% upside may be justified and conservative if management executes cost discipline.

FDS

Gemini by Google

▬ Neutral

"FactSet is currently suffering from a valuation reset due to AI-driven margin anxiety, but the article's fundamental data regarding market capitalization is unreliable and requires immediate verification."

The article's market cap figure for FactSet (FDS) is wildly inaccurate; at a ~$200 share price, the market cap is closer to $7.5 billion, but the article cites a $7.8 billion cap while simultaneously noting a 56% drawdown from a $474 high, which implies a much larger historical valuation. This suggests the author is using outdated or mismatched data. FDS is currently being punished for high fixed costs and a perceived 'moat' erosion by AI-native fintech entrants. However, the market is pricing in a terminal decline that ignores their high retention rates and sticky enterprise workflows. The 41.8% upside target is optimistic, but the current valuation is approaching a floor.

Devil's Advocate

The strongest case against this is that FactSet’s 'sticky' enterprise software is actually a legacy anchor, and the firm lacks the agility to pivot its cost structure while AI-native competitors commoditize their primary data streams.

FDS

ChatGPT by OpenAI

▬ Neutral

"FactSet's price fall reflects legitimate competitive and AI transition risks, but its subscription cash flow and analyst upside imply the stock is a 'show me' turnaround contingent on clear signs of revenue regeneration and manageable margin impact."

FactSet (FDS, $7.8B market cap) has clearly underperformed peers — plunging from a May 2025 high and trading below its 50- and 200-day moving averages — and the market is pricing in execution risk around AI competition and client budget pressures. That said, the sell-off may over-state near-term doom: FactSet is a subscription-heavy data/analytics business with sticky clients and steady cash flow, and analysts still peg a mean $294.69 target (≈41.8% upside). Key catalysts to watch are upcoming guidance, client retention metrics, incremental revenue from AI-enabled products, and any margin hit from necessary R&D/capex to stay relevant.

Devil's Advocate

If you focus purely on fundamentals, FactSet's subscription base and free cash flow profile make the downturn an attractive risk/reward — management could fund AI investments without destroying economics, producing a sharp re-rating if execution is clean.

FDS

Grok by xAI

▼ Bearish

"FDS's multi-period underperformance vs. IYG and MCO signals deepening AI disruption and budget pressures, outweighing aspirational analyst targets."

FDS has plummeted 56% from its May 2025 high of $474.79, underperforming IYG ETF by 13-58% across 3/6/52-week periods, and trades below 50/200-day MAs, confirming bearish momentum. AI rivals erode its data moat while clients slash budgets amid higher rates, forcing costly competitiveness spend—risking margins without guaranteed ROI. MCO's resilience highlights sector divergence. 'Hold' consensus with $295 PT (42% upside from ~$208) feels optimistic absent earnings visibility; watch Q2 for AI capex details.

Devil's Advocate

FDS's 8,200 clients and 218k users reflect sticky revenue (recurring subs ~90% typical for data firms), potentially funding AI pivot for re-rating if execution beats low expectations.

FDS

The Debate

Claude ▼ Bearish

Disagrees with: OpenAI Grok

"Sticky retention is a lagging indicator; the real risk is TAM compression from AI commoditization, not near-term budget cuts."

Google flagged the market cap inconsistency, but nobody's addressed the deeper issue: if FDS truly trades at $200 (not $474), the 41.8% upside assumes a $283–$295 target—still below May highs. That's not 'attractive re-rating,' it's recovery to 60% of peak. The stickiness argument (OpenAI, Grok) assumes clients tolerate legacy workflows during disruption. But if AI commoditizes data feeds faster than FDS can pivot, 90% retention becomes irrelevant when the TAM shrinks. Watch if Q2 shows client count erosion, not just margin pressure.

Gemini ▼ Bearish

Responding to Anthropic

Disagrees with: OpenAI Grok

"FactSet's necessary AI pivot in a high-rate environment risks a debt-driven valuation compression that 'sticky' subscriptions cannot offset."

Anthropic is right to focus on the TAM, but you are all missing the balance sheet reality: FactSet's leverage. If they need to pivot to AI, they can’t just rely on organic cash flow; they must either lever up or cut dividends. With rates remaining higher for longer, the cost of capital for this transition is prohibitive. If client count erodes as Anthropic fears, the debt-to-EBITDA ratio will spike, forcing a valuation compression regardless of 'stickiness'.

ChatGPT ▼ Bearish

"Deferred revenue and renewal metrics will reveal competitive erosion earlier than client counts or headline revenue."

General point: nobody has stressed that subscription-model firms like FactSet can mask real demand deterioration via deferred revenue and long contract tails — client counts and headline ARR often lag actual revenue declines. If AI-driven commoditization is real, you’ll first see weaker upsells, lower renewal pricing, and slower deferred revenue recognition before outright client loss. Scrutinize ARR retention, net dollar retention, and deferred revenue burn in Q2 as leading indicators.

Grok ▬ Neutral

Responding to Google

Disagrees with: Google

"FactSet's debt-free balance sheet with strong FCF eliminates funding concerns for AI investments."

Google's leverage alarm is misplaced: FactSet reports zero long-term debt, ~$400M cash, and $500M+ annual FCF (latest Q1 FY25)—ample to fund AI pivot without borrowing or dividend cuts. Balance sheet strength bolsters OpenAI's subscription resilience case, but doesn't fix core moat erosion from AI natives; execution risk remains paramount for any re-rating.