This cybersecurity earnings tracker is a free Excel workbook that puts ten security companies (Palo Alto Networks, CrowdStrike, Fortinet, Zscaler, SentinelOne, Okta, Tenable, Cloudflare, Rapid7 and Qualys) side by side on revenue and ARR growth, margins, free cash flow, valuation multiples and price trend for the Q1 2026 reporting cycle. Market data and fundamentals come from MarketXLS formulas; you add company-reported figures such as ARR by hand. A static sample and a live-formula version are available to download.
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The timing is unusually rich. By mid-May 2026, Palo Alto Networks, CrowdStrike, Fortinet, Zscaler, SentinelOne, Okta, Tenable, Cloudflare, Rapid7, and Qualys have all either just reported or are about to report fiscal quarters that bridge calendar Q1 2026. The questions investors and advisors are asking are converging: is cyber spending still resilient as IT budgets tighten, is the AI security narrative actually showing up in the numbers, and which platforms are pulling away from point-product vendors on the back of consolidation. A spreadsheet helps because it turns those big questions into comparable fields, formulas, and scenarios.
Cybersecurity earnings snapshot for Q1 2026
Before getting into the workbook structure, it helps to frame the exact questions the market is asking each name.
| Company | Main Q1 2026 focus | Why the market cares now | Example MarketXLS angle |
|---|---|---|---|
| Palo Alto Networks (PANW) | Platform consolidation and next-gen security ARR | Whether platformization continues to compound bookings | =RevenueGrowth("PANW") |
| CrowdStrike (CRWD) | Endpoint, identity, and cloud module attach | Net retention and recovery after the 2024 incident cycle | =PriceToSales("CRWD") |
| Fortinet (FTNT) | Network security plus SASE convergence | Firewall refresh and operating leverage | =OperatingMargin("FTNT") |
| Zscaler (ZS) | Zero trust exchange traction | Whether public sector and AI workloads accelerate ARR | =EnterpriseValueToRevenue("ZS") |
| SentinelOne (S) | AI-native endpoint and emerging platform play | Path to durable free cash flow | =LeveredFreeCashFlow("S") |
| Okta (OKTA) | Identity and access modernization | Re-acceleration in identity and governance | =RevenueGrowth("OKTA") |
| Tenable (TENB) | Exposure management and cyber risk | Whether exposure platform monetization gains pace | =Revenue("TENB") |
| Cloudflare (NET) | Edge security and zero trust | Enterprise traction and AI inference at the edge | =PriceToSales("NET") |
| Rapid7 (RPD) | Vulnerability and managed detection | Margin discipline and MDR growth | =OperatingMargin("RPD") |
| Qualys (QLYS) | Vulnerability management and compliance | Cash flow durability versus modern entrants | =LeveredFreeCashFlow("QLYS") |
This is not a recommendation list. It is an educational scaffolding so that an advisor or self-directed investor can ask the same handful of questions across the cyber complex and let the spreadsheet do the work.
Why a cybersecurity earnings tracker matters right now
Cybersecurity has spent most of the past two years caught between two opposite stories. On one side, threat activity keeps expanding, AI-driven attacks are no longer theoretical, and platform consolidation has clearly created winners. On the other side, CIO budget surveys keep flagging cost discipline, multi-vendor consolidation pressure, and a slow rebalancing of how much of the IT wallet really belongs to security.
Q1 2026 prints sit at the intersection of those forces. A few specific themes deserve attention.
First, platform consolidation is now the dominant narrative for the network security and endpoint cohorts. Palo Alto Networks has been the loudest example with its platformization strategy, and the question on the Q1 2026 call is whether Next-Gen Security ARR continues to compound at a rate that justifies its premium multiple. CrowdStrike sits across that same trade with module attach rates and cloud security momentum.
Second, AI security is starting to show up in customer commitments rather than just in keynote slides. That can be very hard to read from a press release, but it is visible in two places that a spreadsheet can capture: revenue growth re-acceleration and the trajectory of operating margin as a company scales AI-related cost.
Third, the cybersecurity bid is not uniform. Identity is recovering at a different pace than endpoint. Zero trust exchanges, edge security, and exposure management are at different points in their adoption curves. A side-by-side tracker forces you to see those divergences instead of treating the cohort as one trade.
The workbook in this post is built for that comparison work. It is not a list of trades. It is a scoring scaffold and a place to plug in your own scenario assumptions while the MarketXLS formulas keep the numbers fresh.
The MarketXLS approach to a cybersecurity earnings tracker
The core idea is simple. Pull a small number of fields for each name into one dashboard, score them with weights that match your own framework, and use input cells so you can change the size of a hypothetical position or change your scenario assumptions without rebuilding the sheet. Live MarketXLS formulas keep the data current. Educational scenarios let you stress-test outcomes before earnings prints land.
The template uses six sheets: How To Use, Main Dashboard, Scenario Analysis, Strategy and Options, Portfolio and Allocation, and Correlation and Comparison. Every sheet shows the exact MarketXLS functions used at the bottom, so the workbook is also a quick reference for the formulas behind the data.
Main Dashboard
The Main Dashboard is the heart of the workbook. Each cybersecurity ticker becomes a row, with columns for sector, last price, P/S, forward P/E, EV/Revenue, trailing revenue, revenue growth, gross margin, operating margin, free cash flow, ROE, beta, 50-day and 200-day moving averages, RSI, and the 52-week high. A composite score combines a growth weight, a profitability weight, and a trend weight that you control from input cells.
Here are the verified MarketXLS formulas used on this dashboard:
=QM_Last("PANW")
=PriceToSales("CRWD")
=ForwardPE("FTNT")
=EnterpriseValueToRevenue("ZS")
=Revenue("S")
=RevenueGrowth("OKTA")
=GrossMargin("TENB")
=OperatingMargin("NET")
=LeveredFreeCashFlow("RPD")
=ReturnOnEquity("QLYS")
=SimpleMovingAverage("PANW","50")
=SimpleMovingAverage("PANW","200")
=RSI("PANW")
=FiftyTwoWeekHigh("PANW")
Formula documentation: QM_Last, PriceToSales, ForwardPE, EnterpriseValueToRevenue, Revenue, RevenueGrowth, GrossMargin, OperatingMargin, LeveredFreeCashFlow, ReturnOnEquity, SimpleMovingAverage, RSI, FiftyTwoWeekHigh
Each of those functions has been verified against the MarketXLS function library. If you want to learn more about how to combine these into a screener of your own, the stock screener in Excel walkthrough is a good companion piece.
Scenario Analysis
The Scenario Analysis tab is the place to stress-test what a Q1 2026 cybersecurity print might mean for the position you are tracking. The sheet has input cells for a base position weight, a revenue beat assumption, a margin beat assumption, and a valuation re-rate assumption. Three rows let you compare a bull, base, and cautious narrative.
The bull case asks what happens if AI driven cybersecurity demand accelerates and platform consolidation winners take share from point products. The base case asks what happens if cyber budgets are stable, growth is in line, and operating margin holds. The cautious case asks what happens if budgets tighten, customers stall their decisions, and only the platforms with durable free cash flow remain insulated.
This is educational scenario work. It is not a forecast and it is not a recommendation. The point is to write down the assumptions before the print, then revisit them once the actual numbers arrive.
Strategy and Options
The Strategy and Options sheet is a planning grid. Each ticker has its own row with an event focus, a bias, an entry review framework, a risk trigger, and an educational strategy column. This is a place for advisors and self-directed investors to write down rules in advance of the print, so the post-earnings reaction does not turn into improvisation.
Typical educational uses include planning a covered call review for an existing holder ahead of the print, mapping a collar structure around the event window, or simply deciding whether a watchlist name belongs in the size-up bucket or the wait-and-see bucket. None of this is investment advice. The sheet exists to capture your own framework in writing.
Portfolio and Allocation
The Portfolio and Allocation sheet translates a portfolio size input into dollar allocations for each ticker. It uses your target weight, the portfolio size cell on the Main Dashboard, and pulls live price, beta, market cap, EV/Revenue, and forward P/E from MarketXLS. The result is a one-glance sizing model for a hypothetical cybersecurity sleeve.
The default weights start with Palo Alto Networks and CrowdStrike at the top of the sleeve, Fortinet and Zscaler next, and the smaller names at lighter weights. These are placeholders, not a recommendation. Replace them with your own framework. The whole point of a spreadsheet is that the math updates the moment you change the weight.
Correlation and Comparison
The Correlation and Comparison sheet is built for a quick visual check. Each row shows a ticker with its current price, 50-day moving average, 200-day moving average, RSI, 52-week high, 52-week low, where the price sits versus the 52-week high, an automatic trend status, P/S, and EV/Revenue.
That is enough to answer three questions in seconds. Is this name in an uptrend or a downtrend. Is it stretched relative to its annual range. Does the valuation look heavy or light relative to the cohort. Use it as a quick filter before going deep on any single ticker.
Verified MarketXLS formulas used in the workbook
Every formula in the workbook has been verified against the MarketXLS function library before publication. Here is the reference list grouped by purpose.
Price and trend
=QM_Last("PANW")
=SimpleMovingAverage("PANW","50")
=SimpleMovingAverage("PANW","200")
=RSI("PANW")
=FiftyTwoWeekHigh("PANW")
=FiftyTwoWeekLow("PANW")
=QM_GetHistory("PANW")
Formula documentation: QM_Last, SimpleMovingAverage, RSI, FiftyTwoWeekHigh, FiftyTwoWeekLow, QM_GetHistory
Valuation
=PERatio("PANW")
=ForwardPE("PANW")
=PriceToSales("PANW")
=PriceToBook("PANW")
=EnterpriseValueToRevenue("PANW")
=EnterpriseValueToEBITDA("PANW")
=PEGRatio("PANW")
=OneYrTargetPrice("PANW")
Formula documentation: PERatio, ForwardPE, PriceToSales, PriceToBook, EnterpriseValueToRevenue, EnterpriseValueToEBITDA, PEGRatio, OneYrTargetPrice
Growth and profitability
=Revenue("PANW")
=RevenueGrowth("PANW")
=QuarterlyRevenueGrowthYOY("PANW")
=GrossMargin("PANW")
=OperatingMargin("PANW")
=ProfitMargin("PANW")
=EarningsPerShare("PANW")
=ReturnOnEquity("PANW")
=EBITDA("PANW")
Formula documentation: Revenue, RevenueGrowth, QuarterlyRevenueGrowthYOY, GrossMargin, OperatingMargin, ProfitMargin, EarningsPerShare, ReturnOnEquity, EBITDA
Cash and balance sheet
=LeveredFreeCashFlow("PANW")
=OperatingCashFlow("PANW")
=TotalCash("PANW")
=TotalDebt("PANW")
=TotalDebtToEquity("PANW")
=MarketCapitalization("PANW")
=EnterpriseValue("PANW")
=Beta("PANW")
Formula documentation: LeveredFreeCashFlow, OperatingCashFlow, TotalCash, TotalDebt, TotalDebtToEquity, MarketCapitalization, EnterpriseValue, Beta
Every formula above appears in the MarketXLS function library and can be dropped directly into the workbook. If you want a broader walkthrough of Excel based stock data workflows, the earnings data in Excel guide is a useful companion.
How to use the cybersecurity earnings tracker through the Q1 2026 cycle
The most valuable habit with a cybersecurity earnings tracker is to use it across the full reporting window rather than just on a print night.
A practical cadence looks like this. Two weeks before the print, refresh the dashboard, look at the trend column, and write down the questions you want answered. One week before, fill in the scenario tab with your bull, base, and cautious assumptions. The night of the print, write down the actual revenue, ARR commentary, margin print, free cash flow, and guidance. The day after, refresh the dashboard, compare the actuals to your scenarios, and decide whether your framework held or needs revision.
Doing this once is interesting. Doing this across a full earnings season builds the kind of pattern recognition that no single article or research note can substitute for. The workbook is the structure that makes the discipline stick.
Building a cyber demand watchlist with the template
The downloadable template ships with the ten cybersecurity names listed above, but the structure is designed to be extended. The Main Dashboard is a flat list, so adding a name is as simple as inserting a row, dropping in the ticker, and pasting the formula references. Want to add an MSSP, a managed detection player, a SOC platform, or an emerging identity startup. The structure does not care.
A few suggestions for where to extend the list as the cycle progresses. Network security incumbents you might add include Check Point Software. Identity governance names include SailPoint after its return to the public market. Public DSPM and data security plays include Varonis. Endpoint detection alternatives include the broader observability cohort, where security workloads are bleeding into platforms like Datadog. The workbook does not care which names you choose. It only requires that the ticker has the right MarketXLS coverage, which the function library will tell you.
Tying the workbook back to the broader market
It is easy to look at cybersecurity in isolation, but the read across other market themes is worth tracking too. AI infrastructure spending is shaping cyber demand. Software durability is shaping how investors value SaaS multiples. Federal budget cycles still matter for the larger network security incumbents. If you already keep an AI capex tracker excel, or a broader Rule of 40 screener, this cybersecurity workbook becomes one of the natural cross references.
The advantage of MarketXLS is that all of these workbooks share the same formula language. Pull =Revenue("CRWD") here, pull =Revenue("MSFT") over there, and you have a comparable read on enterprise software demand from the cybersecurity sub-cohort all the way up to the largest hyperscaler.
Download the templates
Download the templates:
- - Pre-filled with current data, formula names visible
- - Live updating formulas with MarketXLS
Open either file in Excel. The Sample version is a lead magnet and is pre-populated with reference values plus the MarketXLS function names so you can see how it is wired together. The Template version is fully driven by live MarketXLS formulas and refreshes the moment your MarketXLS subscription is connected.
FAQ: Cybersecurity earnings tracker excel
What is a cybersecurity earnings tracker excel template
A cybersecurity earnings tracker excel template is a structured spreadsheet that pulls live data for the major cybersecurity stocks, organizes their valuation, growth, margin, free cash flow, and trend metrics in one dashboard, and helps you frame scenarios around an earnings print. The MarketXLS version uses Excel formulas like =QM_Last("PANW"), =RevenueGrowth("CRWD"), and =LeveredFreeCashFlow("FTNT") to keep the numbers current. It is an educational planning tool, not investment advice.
Which cybersecurity stocks should I include in the tracker
The default list in this workbook covers Palo Alto Networks, CrowdStrike, Fortinet, Zscaler, SentinelOne, Okta, Tenable, Cloudflare, Rapid7, and Qualys. You can extend it to any cybersecurity ticker with the right MarketXLS coverage. Many users add network incumbents like Check Point, data security platforms like Varonis, or adjacent observability and security plays. The structure is flat so adding a row is straightforward.
What MarketXLS formulas matter most for cybersecurity stocks
Because most cybersecurity stocks are SaaS or hybrid software businesses, the most important formulas are =PriceToSales("PANW"), =EnterpriseValueToRevenue("CRWD"), =RevenueGrowth("FTNT"), =GrossMargin("ZS"), =OperatingMargin("S"), and =LeveredFreeCashFlow("OKTA"). Together they let you compare valuation, growth, gross margin durability, operating leverage, and cash generation across the cohort.
How often should I refresh a cybersecurity earnings tracker
Refresh the workbook at least once a week and always before and after every earnings print on your watchlist. The live MarketXLS formulas update automatically once you open the workbook. The discipline that matters most is writing down your scenarios before the print and your post-earnings observations the day after.
Does this workbook give investment advice
No. The workbook is educational. It is built for advisors and self-directed investors who want a structured tool to compare cybersecurity stocks during earnings season. It does not recommend any specific buy, sell, or position size. Please consult a licensed advisor for personalized financial advice and confirm any data before acting on it.
Can I extend the workbook for my own cybersecurity sleeve
Yes. The dashboard is a flat list with input cells for portfolio size, position weights, and scoring weights. Add or remove rows, change the weights, plug in your own scenario inputs, and the math will follow. The MarketXLS formulas keep the underlying data fresh as you extend the list.
The bottom line on a cybersecurity earnings tracker excel
A cybersecurity earnings tracker excel workbook is most valuable as a discipline tool. It forces you to ask the same questions about every name on the cyber demand watchlist, gives you a single place to record your scenarios, and lets MarketXLS handle the data plumbing so you can spend your time on the framework rather than the formulas. Through Q1 2026 cybersecurity earnings, that structure is the difference between reacting to headlines and tracking a thesis.
If you want a deeper look at how MarketXLS can power your own equity workflow, visit MarketXLS or book a demo and we will walk through how the formulas behind this workbook can be applied to your own watchlist, portfolio, and research process.
