FAQ
How should a CRE team use this article?
Use it as a checklist for the questions to ask during underwriting, not as a substitute for source-backed deal review. The final model still needs document citations, market checks, review states, and clear assumption ownership.
Where does Cactus fit in this workflow?
Cactus reads deal-room materials, checks assumptions against market context, surfaces conflicts, lets users approve the facts that drive the model, and preserves the logic as Proprietary Memory for the next deal.
Cactus is not a stripped-down ARGUS replacement. It is ARGUS-grade CRE underwriting intelligence with extraction, market intelligence, source trails, reviewable assumptions, Excel outputs, and Proprietary Memory.
ARGUS earned its place in commercial real estate because serious deals need serious modeling. Institutional teams do not underwrite office towers, retail centers, multifamily portfolios, development budgets, preferred equity, or multi-tier waterfalls with a toy spreadsheet and good intentions.
So the right Cactus versus ARGUS question is not whether Cactus is simpler. That framing undersells the work. Cactus is built for the same seriousness of underwriting, but with a different center of gravity: source-backed extraction, market intelligence, conflict review, assumption control, Excel-ready output, and firm memory around the deal room and model.
Altus describes ARGUS Enterprise as commercial real estate asset and portfolio management software for valuations, cash flow projections, budgeting, and scenario analysis. That is real infrastructure for real estate finance. The problem Cactus is solving sits around and beside that modeling layer: the messy path from deal materials and market evidence into assumptions a team can defend.
What ARGUS does well
ARGUS is strongest where a team needs structured DCF modeling, lease-level cash flows, valuation workflows, scenario analysis, reporting discipline, and a familiar institutional format. It has decades of market adoption behind it, and many counterparties still expect ARGUS files or ARGUS-style outputs in certain asset classes and transaction contexts.
- Lease-level cash flow modeling and valuation workflows.
- Scenario analysis for institutional assets and portfolios.
- A familiar output language for many brokers, lenders, advisors, and investors.
- A recognized standard in teams that have already built processes, training, and templates around ARGUS.
That matters. A platform does not become widely used in CRE by accident. The fair critique is not that ARGUS lacks sophistication. The critique is that the modern underwriting workflow now depends on more than a modeling engine.
Where the workflow breaks
The model is usually not the first problem. The first problem is getting the right facts into the model and proving why they belong there.
A live deal package can include an OM, rent roll, T-12, trailing P&L, leases, capital budget, seller adjustments, broker comps, lender sizing assumptions, internal memos, property tax exposure, insurance risk, and market data from paid and public sources. Those inputs rarely agree. The rent roll says one thing. The T-12 says another. The OM smooths the story. The market comps move while the analyst is still cleaning tabs.
That is where Cactus is different. Cactus is designed to read the deal room, extract the relevant fields, normalize the financials, check the assumption set against market intelligence, surface conflicts, and let the team decide which facts and assumptions should drive the model.
Cactus is built for serious complexity
The old version of this comparison framed Cactus as easier, cheaper, and simpler. That misses the current product. Cactus is not trying to win because it removes sophistication. It wins when it makes sophisticated underwriting more defensible.
- Complex DCF analysis for acquisition and development work.
- Preferred equity and waterfall partnerships up to five tiers.
- Customer Excel model population or Cactus model workflows.
- Rent roll and T-12 normalization, including chart-of-account matching to the team's format.
- Market checks on rental rates, expense line items, growth targets, sales comps, and site context.
- Reviewer states, confidence states, conflict surfacing, and source trails.
That is institutional underwriting with the evidence layer attached.
The Cactus control layer
Every meaningful number in a CRE model should have a reason behind it. The reason can come from an uploaded document, a market comp, a premium third-party data set, a public record, a customer assumption, prior firm behavior, or a reviewer decision. The problem is that most workflows separate those reasons from the final model.
Cactus keeps them connected.
- Document evidence: OMs, rent rolls, T-12s, P&Ls, leases, budgets, PDFs, spreadsheets, and management reports.
- Market evidence: rent comps, sales comps, demographics, employment and income context, schools, POIs, crime data, tax and insurance risk, debt context, and submarket scoring where available.
- User judgment: approved assumptions, manual overrides, reviewer comments, and investment-committee logic.
- Proprietary Memory: prior comps, model rules, preferred assumptions, templates, decisions, and firm-specific underwriting patterns.
This is the practical meaning of defensible assumptions. Not just a clean output. A number with receipts.
“The European Spreadsheet Risks Interest Group maintains a long-running research library on spreadsheet errors and operational risk.”
CRE teams can keep Excel where it is useful, but the workflow around Excel needs source trails, review controls, and fewer manual copy-paste failure points.
ARGUS vs. Cactus by job
| Job | ARGUS fit | Cactus fit |
|---|---|---|
| Institutional DCF and valuation convention | Strong when the team, counterparty, or portfolio process already expects ARGUS-style files and reporting. | Strong when the team needs ARGUS-level modeling plus extraction, source trails, market checks, and reviewable assumptions before output. |
| Deal-room intake | Usually handled outside the model through analysts, spreadsheets, folders, and manual entry. | Reads OMs, rent rolls, T-12s, leases, PDFs, spreadsheets, and templates, then structures the facts for review. |
| Assumption defensibility | Depends heavily on team process, documentation discipline, and how analysts preserve evidence outside the model. | Designed to keep the source, market check, confidence state, reviewer decision, and assumption override visible. |
| Market intelligence | Often paired with external data tools and manual research workflows. | Brings market comps, third-party data, public records, and extracted deal facts beside the underwriting workflow. |
| Excel and customer models | Excel exports are common in the broader ARGUS workflow. | Can populate customer Excel models or Cactus models while keeping approved facts and assumptions traceable. |
| Firm memory | Usually lives in old files, analyst memory, shared drives, and separate internal systems. | Turns approved facts, comps, assumptions, templates, and reviewer decisions into Proprietary Memory for future deals. |
When to use each
Use ARGUS when a counterparty specifically requires ARGUS files, when the internal process is already built around ARGUS, or when the team needs to maintain an existing asset-management workflow without changing the surrounding process.
Use Cactus when the bottleneck is the full underwriting workflow: reading the deal package, normalizing rent rolls and T-12s, checking market evidence, identifying conflicts, populating a customer model, preparing an IC or lender-ready output, and preserving the reasoning for the next deal.
Many serious teams will not think in binary terms. They will keep the tools that counterparties require and add the workflow layer that makes the assumptions defensible. That is the Cactus lane.
What to test in a demo
Do not demo underwriting software with a clean sample file. Bring the ugly deal.
- A rent roll with concessions, below-market units, stale lease dates, or reimbursement quirks.
- A T-12 with seller adjustments, one-time expenses, chart-of-account mismatches, and unclear operating categories.
- A real customer Excel model, not a generic template.
- A market assumption you would have to defend to a partner, lender, client, or IC.
- A prior deal or comp set that should influence the new assumption set.
Then ask the important questions. Where did this number come from? What source supports it? What market evidence challenges it? What changed? Who approved the override? Can the output move into our model? Will the logic be available on the next deal?
Bottom line
ARGUS is a serious modeling incumbent. Cactus is serious underwriting intelligence for teams that need the model, the source trail, the market check, and the review layer to stay together.
If your team is only looking for a cheaper or simpler ARGUS, you are asking the wrong question. If your team needs to underwrite more deals with the same headcount while defending every major assumption, Cactus belongs in the conversation.
Defensible underwriting
Defend every number before it reaches IC.
Cactus gives CRE teams ARGUS-grade underwriting intelligence with document extraction, market checks, source trails, reviewable assumptions, Excel-ready outputs, and Proprietary Memory around the workflow.
- Rent rolls, T-12s, OMs, comps, and assumptions live in separate files.
- Market evidence gets copied into the model without a durable source trail.
- Reviewer decisions disappear after the memo, email thread, or spreadsheet version changes.
- Extract deal facts from OMs, rent rolls, T-12s, leases, PDFs, spreadsheets, and customer templates.
- Check rents, expenses, growth targets, sales comps, and other assumptions against market intelligence.
- Populate Excel or Cactus models and preserve approved logic as Proprietary Memory.
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