Bull Rankings model

FactSet Research Systems Inc. (FDS) stock analysis

Financial Data & Stock Exchanges. Scored on the same transparent model behind the daily rankings.

★
FDS
FactSet Research Systems Inc. · Financial Data & Stock Exchanges
60.2Financial strength
$287.18Oct 9 close$10.2B
1Y Target$278.19Analyst consensus · 16 analysts
5Y Target$407.29Compound horizon
10Y Target$604.19Long-dated conviction
FCF$708mTTM · 05/26
C+
FCF $708m — respectable but not differentiating · TTM from SEC filings (OCF − CapEx), four quarters to 05/26.
Rev+6.6%TTM YoY
C+
Revenue +6.6% — steady but below market-beating range · Latest four quarters of revenue vs the four before them, from SEC filings.
D/E0.77
B
D/E 0.77 — near the Financial Services debt median (≈60th pctile)
P/E19.7x
C
P/E 19.7 — expensive vs Financial Services peers (≈90th pctile)
PEG1.27
B
PEG 1.27 — acceptable premium for growth

Targets: 1-year is analyst consensus where covered, 5- and 10-year are model estimates; the DCF is a cross-check, not a target. Methodology

Financial strength · 60.2 / 100
Profitability97.8
Value (P/B)12.0
Income50.3

A peer-relative read for financials on profitability (ROE), valuation, and covered income — the quality-growth (FCF/ROIC) screen doesn't apply to balance-sheet businesses. Not comparable to the 0–100 quality-growth score shown on other stocks.

Entry · Margin of safety
52-week rangeNear 52-week high
10% off the 12-month high
Quality signals
Gross profitability30% · Bgross profit ÷ total assets — not in the score
ROIC16.6% · A-return on invested capital — leads the quality score

Model-generatedFrom reported fundamentals, checked against the figures above · Editorial standards

Why now
Financial Data & Stock Exchanges · market cap $10.2b. 10% off the 52-week high of $320.48. 16 sell-side analysts rate this a Hold with a mean 1-yr target of $278.19 (implying -3% upside).
Moat
Net margin 23% sits well above the S&P median (~11%) — suggests structural pricing advantage or cost discipline competitors can't quickly close. ROE 28% — top-decile capital efficiency. Either pricing leverage, low capital intensity, or aggressive buybacks; the durability story depends on which. FCF converts 125% of net income — earnings translate cleanly into cash.
Risk
Mature compounder — the risk is paying up for quality at a moment when growth is decelerating. Watch for sequential revenue + margin trends; the inflection from "compounder" to "ex-compounder" is hard to spot until the multiple already started compressing.
Horizon
1-3 yr $278.19 (16-analyst consensus) — fundamentals + valuation re-rating. 5 yr $407.29 at ~7% CAGR — compounding case rests on the competitive position widening. 10 yr $604.19 if current growth sustains into durable earnings power.

Not enough history yet — the model records FDS's score after each daily run, and the chart appears once a few days have accumulated.

FDS at a glance

FINANCIAL STRENGTH · BANKPROFITABILITY98VALUE12COVERED INCOME5060.2/100 on our peer scale — not the quality-growth score.
PRICE IN ITS 52-WEEK RANGE$287LOW $185HIGH $320Trading at the 75th percentile of its 52-week range ($185–$320).
ONE-YEAR MOVE VS ITS BETAFLATThis stock+1%Trailing one-year price change. Price history is not an inputto the Bull Rankings score.

Same audited fundamentals as the score, unless a card says otherwise.

Analyst estimate revisions

30-day change+10.2%
90-day change+10.4%
Forward EPS estimate$21.72

Over the last 90 days, what analysts expect FDS to earn is materially higher (+10.4%). The estimate is derived from price and forward P/E captured at the same instant, so a moving share price does not move this number — only a changed forecast does.

Estimates move both ways and are not part of the Bull Rankings score. Biggest movers →

Shares to buy
6
Position size
$1,723
3.4% of portfolio
Stop price
$215.38
25% below $287.18
$ at risk if stopped
$430.77
budget $500.00 · 1% of portfolio

Math only: excludes commissions, slippage and gap risk. Inputs stay in your browser.

FactSet Research Systems Inc. (FDS): score, valuation & FAQ

FactSet Research Systems Inc. (FDS) is a Financial Data & Stock Exchanges company. As a bank, insurer or REIT it runs on a different financial model from the rest of the market, so Bull Rankings grades it on a sector-appropriate card — price-to-book, dividend yield, payout ratio and cash-flow coverage — rather than the 0–100 quality-growth score used elsewhere. The read below is a transparent screen, not a buy recommendation.

FDS is graded on the same transparent quality-growth model — quality, growth and value — behind the daily Bull Rankings.

Is FDS a good stock to buy?

Bull Rankings grades FDS on a sector-appropriate card — price-to-book, dividend yield, payout and cash-flow coverage — rather than a single quality-growth score. A score is a quantitative screen of FactSet Research Systems Inc.'s fundamentals, not personalised financial advice — weigh it against your own time horizon and risk tolerance, and read the risk factors below before acting.

How does Bull Rankings grade FDS?

As a bank, insurer or REIT, FDS isn't given a quality-growth score — signals like free cash flow, debt-to-equity and P/E don't translate cleanly to a balance-sheet business. Instead it's graded on a sector-appropriate card: price-to-book, dividend yield, payout ratio and operating-cash-flow coverage.

Is FDS overvalued or undervalued?

We don't publish a discounted-cash-flow value for FDS, and not because the business is unprofitable. For a lender, insurer or property trust, "free cash flow" measures balance-sheet growth rather than owner earnings — loan originations and repayments run through operating cash flow — so discounting it would produce a confident-looking number with nothing behind it. FDS is judged on book value, return on equity and income cover instead, which is what the financial-strength card shows.

What are the main risks of investing in FDS?

Mature compounder — the risk is paying up for quality at a moment when growth is decelerating. Watch for sequential revenue + margin trends; the inflection from "compounder" to "ex-compounder" is hard to spot until the multiple already started compressing.

New to these metrics? See the guides and the methodology.

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