OAOlalekan Akinola
A–Z / C · Global equities

CrowdStrike

Did outperformance compensate for the size of the drawdowns?

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Data as of 2026-09-04Presentation reviewed 29 October 2026 · Historical snapshot
My research view at cutoff

Constructive for a risk-tolerant satellite allocation at the research cutoff; unsuitable as a low-risk substitute for broad market or sector exposure. Earnings execution and drawdown tolerance matter more than chasing the historical return.

Outperformance came with materially higher risk
From my Python workflow (repository linked below). Data as of 2026-09-04.
Key findingCrowdStrike returned 87.9% YTD, with 60.3% annualized volatility and a 26.8% maximum drawdown.
MetricCrowdStrikeS&P 500CIBR
YTD return87.9%12.5%34.1%
Annualized volatility60.3%13.4%32.0%
Maximum drawdown−26.8%−9.09%−17.1%
Catalysts

What would improve the case?

Recurring-revenue growth, customer expansion and execution against raised company guidance.

Risks

What could weaken it?

Valuation sensitivity, competition, service reliability and large price drawdowns.

Contribution & method.

My Python workflow, benchmark and peer comparisons, chart analysis and research interpretation.

YTD price window: 2 January–4 September 2026; yfinance end parameter 5 September is exclusive. Historical return is arithmetic annualized mean, not CAGR. Daily close-price calculations and benchmark choices follow the original notebook. Price-adjustment defaults must be pinned when rerunning.

Risk-free assumption: 4.79% annual assumption in the original notebook, held fixed across the analysis.

Sources and common conventions →

Read or review the work.

The portable notebook reviews the dated summary inputs offline. The linked original repository contains the full workflow.