FactSet Research Systems Inc., the Norwalk, Connecticut-based financial data and analytics provider, has been on a volatile ride. After climbing to an all-time high near $495 in late 2024, the shares tumbled through 2025 and into early 2026, eventually touching a 52-week low of $185. The stock has since staged a powerful rebound, trading near $305 as of the latest available data — still well below its former peak but a dramatic recovery from the bottom.
That recovery is what makes $400 a meaningful, widely discussed objective. It represents a clean, round psychological milestone, sits above the current 52-week high of $377.07, and would mark a convincing recovery toward the stock's historical range. It is not yet reached, and it is far enough from the current price to be a genuine test rather than a trivial move.
FactSet is a global provider of integrated financial data, analytics, and workflow software used by asset managers, bankers, wealth managers, and research professionals. Its subscription-based model generates recurring revenue — roughly $2.44 billion in trailing twelve-month revenue — supported by a metric known as Annual Subscription Value (ASV), which investors watch closely as a proxy for growth.
The company carries a market capitalization of roughly $10.9 billion and trades at a trailing price-to-earnings (P/E) ratio of about 20, with a forward P/E near 16. It also pays a dividend of about $4.64 per share annually, offering a yield of roughly 1.5%. For a company that was trading above $480 as recently as 2024, the current valuation reflects a market still rebuilding confidence after a deep drawdown.
Several factors could support a continued climb toward $400. First, FactSet has a strategic partnership with Google Cloud to build a new generation of AI-powered solutions for the financial industry, positioning it to capture demand as clients seek automated research and analytics tools.
Second, the company's fundamentals remain profitable and stable. Net income of about $566 million and diluted earnings per share (EPS) of roughly $15.18 over the trailing twelve months underscore a durable, cash-generative business model. Management's fiscal 2026 EPS guidance of $17.25–$17.75 implies continued earnings growth.
Third, the recent rally itself has a technical character. Deutsche Bank raised its target in mid-2026, attributing the rebound partly to a "large technical unwind of the AI narrative" — meaning the market may have oversold FactSet on AI fears, creating room for a repricing as those fears moderate.
The most serious obstacle is that the Street, on average, does not currently expect $400. The consensus analyst price target sits near $259 — roughly 15% below the current share price — with a rating of Hold. The highest individual target is $340 from UBS, still below the $400 objective.
Skeptics argue that artificial intelligence could disintermediate FactSet's core data products. Rothschild downgraded the stock to Sell in mid-2026, citing eroding pricing power as data consumption becomes more "unbundled" and warning that AI risks compound a structurally challenged end market. Barclays and Goldman Sachs have also maintained cautious ratings, reflecting the bearish camp's view that growth may not reaccelerate quickly enough to justify a higher multiple.
Analyst sentiment is decidedly mixed. Targets range from a low of $210 to a high of $340, with a cluster of Hold ratings in the middle. Notably, most targets sit at or below the current price, meaning the stock has already run ahead of consensus expectations. For $400 to become plausible, analysts would need to begin raising estimates and targets materially — a shift that would likely require evidence that ASV growth is reaccelerating and that AI is enhancing, rather than eroding, FactSet's competitive position.
From a technical analysis perspective, the path to $400 runs through well-defined zones. The shares have established a base after the $185 low, and the recent push above $300 signals renewed demand. The first major resistance level is the 52-week high of $377.07; clearing that would open the door to the $400 psychological level and, beyond it, the former all-time high near $495. The durable support level to watch on any pullback is the $250–$260 area, which aligns roughly with the consensus analyst target and prior consolidation zones.
Traders tracking a potential move toward $400 can also monitor AI Daily Buy/Sell Signals, a tool from Tickeron that uses artificial intelligence to continuously scan thousands of stocks and ETFs. The system generates Buy, Sell, or Hold signals based on evolving market conditions, technical behavior, and AI-driven analysis. These signals are designed to help traders spot opportunities, monitor existing positions, and identify shifting trends more efficiently than manual chart review. For investors following FactSet's recovery, such signals can offer a data-driven way to track changing momentum and market sentiment.
Can FactSet Research Systems reach $400? It is not impossible, but it is far from the base case embedded in current analyst forecasts. The bullish argument rests on a proven rebound from the lows, durable profitability, and an AI partnership that could become a growth catalyst. The bearish argument is equally forceful: the consensus target remains below the stock's current price, and structural questions about AI-driven pricing pressure have not been resolved.
Reaching $400 would likely require a combination of reaccelerating subscription growth, sustained margin recovery, and a broader repricing of the stock's multiple by the analyst community. Investors should monitor ASV trends, upcoming earnings, and whether the shares can hold above the $300 level and ultimately clear the $377 resistance zone. Until those conditions emerge, $400 remains a plausible but demanding objective rather than a near-term certainty.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
A.I.dvisor indicates that over the last year, FDS has been loosely correlated with SPGI. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if FDS jumps, then SPGI could also see price increases.
| Ticker / NAME | Correlation To FDS | 1D Price Change % | ||
|---|---|---|---|---|
| FDS | 100% | +0.06% | ||
| SPGI - FDS | 63% Loosely correlated | -1.44% | ||
| MCO - FDS | 63% Loosely correlated | -2.25% | ||
| MSCI - FDS | 52% Loosely correlated | -1.63% | ||
| TRU - FDS | 50% Loosely correlated | -2.30% | ||
| HLI - FDS | 49% Loosely correlated | -2.97% | ||
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| Ticker / NAME | Correlation To FDS | 1D Price Change % |
|---|---|---|
| FDS | 100% | +0.06% |
| Financial Publishing/Services industry (14 stocks) | 70% Closely correlated | -1.88% |
| Commercial Services industry (91 stocks) | 20% Poorly correlated | -1.12% |