Booking Holdings [BKNG]
The memo issues NO position verdict. Criteria are scored; the book decides.
Default. No LEAP proposed: measured option IV was not retrieved inside the time box, so the required IV-minus-realised-vol spread is unquantified. Trailing 252-day realised vol 35.6%. Explicit non-computation rather than a reason the document cannot support.
One vehicle note specific to this name. BKNG split 25-for-1 on 2026-04-06, so option chains are post-split and strikes are dense around a ~$190 spot rather than sparse around ~$4,800. Multi-leg construction that was impractical at the old contract size is now constructible — but per the standing rule, multi-leg requires demonstrated constructability at the strike with quoted size, which was not measured. Recorded as an available avenue, not a recommendation.
| Spot | $191.565 |
| 12-month target (17.5x EV/EBIT, ~40th pctile of the 3-yr window, on NTM EBIT) | $226, +17.9% |
| High anchor (3-yr median 18.83x) | $243, +27.0% |
| Low anchor (3-yr p25 16.11x) | $208, +8.4% |
| Downside (named: SEO decline forces marketing +80bp of gross bookings) | $170, −11.3% |
| Reward : risk vs the named downside | 1.58 : 1 |
The best reward:risk of the three names in this run — MELI is 1.0:1 and RBA is 0.67:1 — and it comes from the tightest distribution, not the biggest upside.
BKNG's implied-path verdict is multiple-dependent and the break-even is 12.7x:
steady_state_check.py: required 12.21% → −4.2pp FAIL.This is not a hedge. It is the actual state of the evidence, and the book should size it as a name whose Criteria verdict turns on whether a 58.4%-measured / 25%-assumed ROIC survives five years. Nothing else in the analysis moves the answer: across an 8.8pp band of FCF margin the required CAGR moves 1.6pp, and the terminal margin is within 0.4pp of the trailing actual.
size_bucket: mega ($152bn), 35.6% realised vol, no liquidity constraint. Evidence grade A− — the
highest of the three names. BKNG decomposes its own gross-bookings growth into FX, volume and price
in the filing, which is more than either of the other two names does. The deduction is for the verbal
direct-mix buckets and for traffic-source concentration that is discussed qualitatively and never
quantified.
Correlation note for the book: BKNG, MELI and RBA share the label "network-effect marketplaces" and almost nothing else. BKNG is European travel demand and Google's traffic policy; MELI is LatAm consumer credit and FX; RBA is North American used-equipment supply and catastrophic weather. Treating them as one exposure would be a mistake the research framing invites.