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Sysdig Financial Model

Dev Tools Startup Financials (Free Excel Download)

Unified cloud-native security and monitoring platform (Secure DevOps) for enterprises running Kubernetes and containers.

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About this model

Sysdig is a cloud-native security and monitoring platform for Kubernetes and containers, spanning build, run, and response. It combines image scanning, vulnerability management, runtime protection, forensics, incident response, compliance, and observability, using low-touch instrumentation and cloud or Kubernetes context to avoid security and monitoring data silos.

The company commercialises open-source Falco runtime security and Prometheus monitoring through annual enterprise subscriptions. Its land-and-expand model begins with an initial ACV and grows as customers deploy across more workloads, cloud environments, security modules, and monitoring use cases. Direct sales targets cloud and container platform leaders.

Sysdig reported more than fivefold ARR growth from Q3 2017 to Q3 2019. Some enterprise accounts expanded to seven to ten times their initial ACV within three to four years. The model should forecast deployment scope, cross-sell, renewal, churn, sales capacity, support, and NRR.

A turnkey financial model

Live formulas, no hardcoded values

Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.

All assumptions in one tab

Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.

Statements always balancing

For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.

Distinct schedules for clarity

Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.

No hidden macros or external links

There are no unexplained external workbook links or macros to undermine auditability or portability.

Changes flow through the model

Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.

About Sysdig

sysdig.com
Read the pitch deck
Sysdig pitch deck cover
View on makeslides.com
Total raised
$70.0M
Funding round
Series E
Founded
2020
Category
Dev Tools
Customer
B2B
Geography
Global

How to build a detailed financial model for Sysdig

A complete walkthrough of the business, drivers, and assumptions behind the downloadable Sysdig model - distilled from its pitch deck and publicly available information.

Product & value proposition

  • Secure DevOps platform that converges security and monitoring functions across the cloud-native lifecycle: Build → Run → Respond.
  • Core capabilities: image scanning, vulnerability management, runtime security (Falco OSS), infrastructure/application monitoring (Prometheus OSS), forensics/incident response, continuous compliance (PCI, NIST, CIS).
  • Differentiation: kernel-level deep visibility via low-touch instrumentation; automatic Kubernetes/cloud metadata context; enterprise scale without data silos.
  • Built on open-source foundations (Falco for runtime security, Prometheus for metrics) with commercial enterprise layer adding scale, workflow, K8s context.

Market

  • TAM: $20B+ total addressable market, broken into three adjacent segments:
  • $6B - Vulnerability management
  • $7.5B - Infrastructure monitoring & APM
  • $7.6B - Endpoint detection & response
  • Adjacent market reference: IDC forecasts worldwide DevOps software tools market at $15B by 2023
  • Market driver: 40% of enterprise companies running Kubernetes in production (CNCF survey, 2018); security and monitoring cited as top Kubernetes challenges

Revenue model

  • SaaS subscription (ARR-based); references to "initial ACV" and "ARR expansion" confirm annual contract / subscription model.
  • Land-and-expand: initial deal (ACV) followed by expansion within enterprise accounts over time.
  • Sales channel: enterprise direct sales targeting Cloud/Container Platform Teams (Director/VP/CTO-level buyers).

Traction & metrics

  • ARR growth: >5X from Q3CY17 to Q3CY19 - no absolute ARR figures disclosed.
  • Enterprise ARR expansion pattern (scatter plot, slide 10): accounts plotted up to ~45 months post-initial deal; several accounts show current ARR at 7–10X+ initial ACV within 3–4 years.
  • Qualitative: "large enterprise adoption," "proven land and expand model," "open source leaders endorse model."

Competition / moat

  • Existing tools (vulnerability management, APM, EDR) are "blind" to containers and Kubernetes - this is the stated wedge.
  • Moat sources: kernel-level instrumentation (proprietary); open-source community around Falco and Prometheus (distribution flywheel); unified platform vs. point solutions; enterprise-grade scale.

Team & funding ask / use of funds

Recommended financial model

  • Archetype + why: Enterprise SaaS ARR model with land-and-expand mechanics. Revenue is subscription/ARR-based, the defining growth motion is expansion within accounts (ACV → multi-year ARR ramp), and the buyer is an enterprise team on annual contracts. A 3-statement model is secondary; the core output is ARR waterfall (new logo ACV + expansion + churn) feeding an income statement.
  • Forecast horizon & granularity: 5 years (Year 1–5), quarterly for Years 1–2, annual for Years 3–5. Quarterly granularity needed to model cohort expansion curves.
  • Key drivers & assumptions:
DriverValue
Starting ARR (beginning of model)Unknown - not disclosed
ARR growth rate (historical)>5X over ~2 years (Q3CY17→Q3CY19)
Implied 2-yr CAGR (base)~124%
Forward ARR growth - Year 180%
Forward ARR growth - Year 260%
Forward ARR growth - Years 3–540% / 30% / 25%
Net Revenue Retention (NRR)130%
Gross margin70–75%
S&M as % of revenue45–55%
R&D as % of revenue20–25%
G&A as % of revenue8–10%
Rule of 40 target (Year 3+)~40
  • Scenarios (Base / Bull / Bear - which variables flex):
  • Base: ARR growth per table above; NRR 130%; gross margin 72%.
  • Bull: ARR growth +15pp each year; NRR 140%; faster gross margin expansion to 75%.
  • Bear: ARR growth –15pp each year; NRR 115% (churn pressure); gross margin 68%.
  • Primary flex variables: forward ARR growth rate, NRR, new logo adds.
  • Required sheets / outputs:
  1. Assumptions - all drivers, scenario toggle (Base/Bull/Bear)
  2. ARR Waterfall - beginning ARR, new logo ACV, expansion, churn/contraction, ending ARR (quarterly)
  3. Income Statement - revenue, gross profit, S&M, R&D, G&A, EBITDA, net income
  4. Cohort Model - optional but recommended: tracks per-cohort ARR ramp to validate NRR assumption against scatter plot data
  5. Cash Flow / Runway - simplified operating CF and cash burn
  6. KPI Summary - ARR, YoY growth, NRR, gross margin, Rule of 40, ARR/FTE
  7. Dashboard - ARR waterfall chart, margin bridge, Rule of 40 tracker

Frequently asked

Is the Sysdig financial model free?+

Yes. The Sysdig model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.

What's included in the model?+

A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.

How was this model built?+

It was built from Sysdig's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.

Can I change the assumptions?+

Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.

Have more financial modelling questions? Contact us

Alex Tapio, ex-Deloitte financial modelling expert

Created by ex-finance professionals

Hey, I’m Alex and I created Finamodel.

Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.

Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.

I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.

Having a template library on hand cuts a first build from hours to minutes.

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