Models Built to Survive
Due Diligence.
Investor-grade financial models — 3-statement, SaaS MRR waterfalls, DCF valuations, real-estate pro formas, and fundraise models. Every model has to answer one question: would a sharp CFO on the other side of the table find a hole in this? If yes, we don't ship it.
What a Real Financial Model Actually Does.
A financial model is a structured spreadsheet — usually in Excel or Google Sheets — that projects a business's future financial performance based on defined assumptions. A good model links a full 3-statement view (income statement, balance sheet, cash flow) driven by inputs like customer acquisition, pricing, headcount and capital spending. Change one input and every downstream number moves — the way it would in the real business.
Investors, lenders and internal decision-makers use models for three jobs: to stress-test whether the business can survive a downside scenario, to value the business for a raise, sale or acquisition, and to decide how much to invest, lend, hire or spend. Every serious conversation about your business will eventually be a conversation about your model.
Which is why a model that breaks under a pointed question is worse than no model at all. A single hardcoded number inside a formula, a balance sheet that doesn't balance, a revenue line that doesn't tie to a defensible driver — any one of these is enough to lose an investor's confidence in a 15-second glance. A well-built model, by contrast, invites the reviewer to test it: sensitivity tables ready, scenarios pre-built, integrity checks flagging any inconsistency the moment it appears.
Every Ledgerive model is built to investor-grade standards — driver-based, fully linked, consistently formatted, sensitivity-ready and CPA-reviewed. Whether the audience is a Toronto VC, a BDC adjudicator, a real-estate LP, or your own board, the model is built to answer the questions they will actually ask.
Nine Signs You Need a Professional Financial Model.
Some of these are obvious. Some only become obvious the first time an investor tears your spreadsheet apart in a Zoom call.
Raising a seed or Series A round
Every VC and angel group expects a driver-based 3-statement model. Some ask for the spreadsheet before the pitch. A weak model kills the round faster than a weak pitch.
Applying for BDC, CSBFP or a bank loan
Canadian lenders require 3-year projections with monthly detail for Years 1–2. Templated spreadsheets and hardcoded totals routinely get rejected during adjudication.
Selling your business (or buying one)
Buy-side and sell-side both want a defensible valuation — DCF, trading multiples, precedent transactions. Missing this analysis usually means leaving money on the table.
Underwriting a real estate deal
Every serious Ontario real estate deal needs a pro forma showing IRR, cash-on-cash, sensitivity to rent, vacancy and cap rate. Napkin math costs you deals.
Your SaaS metrics don't tie together
MRR, ARR, deferred revenue and GAAP revenue should reconcile to the cent. If they don't, your investor conversation is going to be uncomfortable.
Building a 3–5 year strategic plan
Board meetings, hiring plans and capital allocation decisions all need a model showing what happens under each scenario. Gut feel does not scale past $2M in revenue.
Existing model broke or drifted
Original modeler left, spreadsheet has been patched dozens of times, and nobody trusts the numbers anymore. Common story — usually cheaper to rebuild than to fix.
Refinancing or restructuring debt
Lenders will only refinance on the strength of a defensible cash flow projection. A tight model saves you basis points — sometimes on millions of debt.
Post-mortem after a rejected raise
Investors passed and you're not sure why. Nine times out of ten the model was one of the reasons — even if it wasn't the reason they gave you.
What Every Ledgerive Financial Model Includes.
Every model we build includes the ten deliverables below as standard. Scope, complexity and turnaround are confirmed on the discovery call — pricing depends on model type, industry, and rush requirements, and we quote a fixed project fee in writing before you commit.
Full 3-Statement Structure
Income statement, balance sheet and cash flow — all linked so changing any assumption flows through every statement. Balance sheet balances every single period. No exceptions.
Driver-Based Assumptions
Every revenue and cost line is driven by explicit inputs — customer count, price, churn, headcount, capex — never a hardcoded number buried in a formula. You (or an investor) can move any lever and watch the model react.
Monthly Detail for Years 1–2
Monthly projections for the near-term where accuracy matters, quarterly or annual for the outer years. Standard for both fundraise and lender models.
Sensitivity & Scenario Analysis
Base, downside and upside scenarios built into the model — plus sensitivity tables on the two or three variables that matter most. So when the investor asks "what if revenue is 30% lower", the answer takes seconds, not weeks.
Industry-Specific Metrics
SaaS models include MRR/ARR waterfalls, cohort retention, LTV/CAC. E-commerce includes CAC payback and contribution margin. Real estate includes IRR, cash-on-cash, cap-rate sensitivity. The right metrics for your vertical, not a generic template.
Integrity Checks & Error Flags
Every model has built-in error flags — balance sheet imbalance alerts, cash reconciliation checks, formula-consistency warnings. If something breaks, the model tells you where and why.
Consistent Formatting & Color Coding
Blue for inputs, black for formulas, green for links, red for external references. Investor-standard color coding a reviewer can navigate without a walk-through — because they read hundreds of models.
Investor-Ready Summary Outputs
A one-page summary tab with the key financial outputs, charts, KPIs and scenarios — the tab the investor actually reads first. Everything else is drill-down.
Two Rounds of Revisions
Two rounds of revisions included as standard — because you'll want to test different assumptions once the model is in your hands. Additional revisions billed transparently by scope.
Walkthrough Session & Documentation
60-minute walkthrough call so you know how to drive the model — plus a short documentation sheet inside the workbook explaining each input, tab and calculation.
Which Financial Model Do You Actually Need?
Each model type is built differently. Structure, drivers, outputs and level of detail all tuned to the specific use case and audience.
3-Statement Financial Models
The foundation of every serious model. Income statement, balance sheet and cash flow — fully linked, driver-based, and balancing every period. Standard for BDC, banks, boards and general strategic planning.
- 3–5 year projection horizon
- Monthly detail Years 1–2, quarterly/annual Y3+
- Driver-based revenue & cost buildup
- Working capital & debt schedules
SaaS Financial Models
Built around subscription mechanics — MRR/ARR waterfalls, deferred revenue, cohort retention, LTV/CAC, gross margin waterfalls. The right model for Ontario SaaS founders raising seed to Series B.
- MRR & ARR waterfalls with expansion/churn
- Cohort retention & LTV analysis
- CAC / LTV / payback period
- Deferred revenue & GAAP reconciliation
Real Estate Pro Forma Models
Rental property analysis, flip pro formas, development budgets, multi-family and mixed-use underwriting for Ontario real estate investors. IRR, cash-on-cash, sensitivity to vacancy and cap rate.
- Acquisition, hold, refinance & exit scenarios
- Full debt / equity waterfall
- IRR, cash-on-cash, equity multiple
- Sensitivity to rent, vacancy, cap rate, rate hikes
DCF Valuation Models
Discounted cash flow valuations for fundraise negotiations, business sales, acquisitions and internal decisions. Defensible WACC, terminal value using both methods, full sensitivity.
- Unlevered free cash flow buildup
- Defensible WACC with beta & capital structure
- Terminal value: perpetuity & exit multiple
- Football field valuation summary
Cap Table & Waterfall Models
Cap table modeling and exit waterfalls for founders raising rounds with preferred equity, options, warrants, SAFE notes and convertible debt. Know exactly what everyone gets at each exit price.
- Multi-round cap table with dilution
- SAFE / convertible note conversion
- Preferred stock stacks & liquidation prefs
- Exit waterfall across price scenarios
M&A / LBO Models
Acquisition models for Ontario founders and PE investors — full LBO structure, purchase price allocation, synergy modeling, post-close integration cash flow, and returns analysis.
- Sources & uses of funds
- Purchase price allocation & goodwill
- Debt structure & covenant modeling
- IRR & MOIC returns analysis
What Separates an Investor-Grade Model from a Spreadsheet.
Eight non-negotiable standards on every model we ship — and the amateur mistakes we refuse to make. Any experienced CFO or investor can spot these in the first 60 seconds of opening the file.
Driver-based structure
Every revenue and cost line traces back to an explicit input — customer count × price × conversion rate, headcount × salary × loading factor. Change one lever and the whole model reacts.
Hardcoded totals
A revenue cell reading =1200000 with no formula behind it. The single most common amateur mistake — and the first thing a reviewer looks for.
Balance sheet balances every period
Assets = Liabilities + Equity in every single column of the model. A built-in check flags any imbalance the moment it appears.
No balance sheet at all
Or a balance sheet that doesn't tie to the P&L and cash flow. Very common in DIY spreadsheets — and an instant credibility kill.
Consistent formulas across all periods
The same formula is copied cleanly across every projection column. Any deviation is intentional and flagged. A reviewer can audit one row and trust the rest.
Different formulas in different months
Someone edited a single cell mid-row to force a number. Now the model looks right but calculates wrong — and nobody notices until due diligence.
Color-coded cells
Blue for hardcoded inputs, black for formulas, green for cross-sheet links, red for external file references. A reviewer knows what to test without asking.
Everything in default black
The reviewer has to click every single cell to know whether it's an input or a calculation. Twenty minutes in, they've lost patience.
Sensitivity & scenario tables
Base / downside / upside toggled from one input cell. Sensitivity tables on the two or three key variables. Investor asks "what if?" — answer takes 3 seconds.
Single-scenario "hope" case
Only the base case exists. Downside isn't modeled. First real reviewer question exposes it — and the whole raise gets slower or dies.
Integrity checks & error flags
Built-in checks flag balance sheet imbalance, cash reconciliation gaps, negative cash, missing inputs. Errors visible at a glance from the summary tab.
Silent errors that compound
A broken formula in Month 4 propagates through 32 months of projections. Nobody notices until the investor's analyst finds it — and they will.
One-page summary output
A clean summary tab with headline KPIs, financial highlights, scenario toggles and 3–4 charts. The tab an investor actually reads first.
Forcing the reviewer to hunt
The key numbers are buried across seven tabs. The investor has 90 seconds to form an opinion. They form the wrong one — and blame the model.
Documented inputs & assumptions
Every material assumption is noted next to the cell — source, rationale, benchmark. Reviewer questions get answered inside the model itself.
Assumptions in the founder's head
Model gets sent to the investor. Investor asks "why 30% growth?" Founder can't remember. Investor concludes the founder doesn't actually know their business.
Ledgerive vs the Alternatives.
The five ways Ontario founders typically get a financial model built. Each is a real trade-off.
| DIY / Founder-Built | Downloaded Template | Cheap Freelancer | Ledgerive | |
|---|---|---|---|---|
| Investor-grade structure | Rare | Cosmetic only | Inconsistent | Yes — every model |
| Driver-based (no hardcoded totals) | Depends on skill | Templates often break | Rarely | Standard practice |
| Balance sheet balances every period | Frequent breaks | Often omitted | Not guaranteed | Guaranteed + checks |
| Industry-specific (SaaS, RE, DTC) | You research it | Generic | Depends | Vertical-specific by default |
| Sensitivity & scenario analysis | Rarely | Cosmetic tables | Basic | Base / down / up + tables |
| CPA review | — | — | Rarely | Every model |
| Turnaround | Weeks of your time | Days (but broken) | 1–3 months | 2–4 weeks (rush available) |
| Walkthrough & documentation | — | None | Rarely | Included, standard |
| Bundles with business plan / pitch deck | — | — | — | Same team, one narrative |
From Discovery Call to Delivered Model in 2–4 Weeks.
Standard turnaround. Rush turnaround of 5–10 business days available when a fundraise or lender deadline demands it.
Free 30-minute discovery call
We walk through your business, the audience (investor, lender, board, internal), the use case, and the deadline. We tell you honestly whether we can meet your timeline on the call itself.
Written proposal within 48 hours
Scope, model type, deliverables, timeline and a fixed project fee — all in writing. Rush surcharges (when applicable) stated upfront. If you want changes, we revise once for free.
Discovery interview & data intake (Days 1–3)
NDA signed. 60–90 minute working session to extract assumptions, drivers and business logic. Historical financials, unit economics data, sales pipeline, headcount plan all collected.
Model build & internal QA (Days 4–14)
Full model built to investor-grade standards. Internal CPA review, integrity checks, sensitivity tables and error flags all validated before you see it. Nothing ships without passing internal QA.
First delivery & walkthrough call (Days 15–21)
Full model delivered as an Excel + Google Sheets file. 60-minute walkthrough call so you can drive it confidently. Documentation sheet inside the workbook explaining every input and calculation.
Revisions & final delivery (Days 22–28)
Two rounds of revisions included as standard — for scenario tweaks, additional cases and driver refinements. Final model delivered clean, ready for the investor or lender inbox. Rush deliveries collapse this into 5–10 business days.
What Ontario Founders Actually Get.
Anonymized outcomes from real Ledgerive financial modeling engagements — closed rounds, approved financing, defended valuations.
Toronto-based B2B SaaS founder came to us three months out from a raise with a broken model. We rebuilt the MRR waterfall, cohort retention and CAC/LTV analysis from scratch. Round closed 40% above initial target.
SaaS · TorontoOttawa e-commerce brand thought they had 8 months of runway. Our first cash flow model showed 4. Six weeks later, after pricing and hiring changes we ran through the model together, they had a defensible 18-month runway with no layoffs.
E-commerce · OttawaVaughan real estate investor was ready to bid on a multi-family building. Our pro forma showed the deal at 21% IRR base case, 14% downside. Investor bid confidently, closed the deal, and the model now runs their portfolio.
Real Estate · VaughanOntario Industries & Cities We Serve.
Every model is built by a senior lead who already knows the metrics that matter in your vertical.
Industries served
Financial modeling experience across 25+ Ontario verticals. Pick yours for a dedicated industry page.
Ontario cities served
Active financial modeling coverage across the 12 largest cities in Ontario.
What Ontario Founders Say After the Round Closed.
Our lead investor's analyst opened the model, spent 15 minutes clicking around, and said "this is clean". That single sentence unlocked the term sheet. I don't want to know what our previous spreadsheet would have done.
The first cash flow model they built for us showed we had four months of runway, not eight. That was uncomfortable to see — and the reason we now have eighteen. Best money we've spent this year.
The pro forma they built for our multi-family deal survived four rounds of lender questions without a single revision. I've since used the same model structure for two more deals.
Bundled the model with our business plan and pitch deck. One team, one story, numbers that agreed with each other everywhere. Closed 40% above target six months later.
Financial Modeling Questions Ontario Founders Ask.
Straight answers to the questions that come up on nearly every discovery call.
What is a financial model?
What is a 3-statement financial model?
How long does it take to build a financial model?
What is a SaaS financial model?
What makes a financial model investor-grade?
Do you build DCF valuations too?
Can you build a real estate pro forma?
Do you also write the business plan and pitch deck?
Can you fix or upgrade my existing model?
How quickly can you get started?
What software do you build models in?
How do you handle pricing?
Do you sign an NDA before the discovery call?
Ready to ship a model that holds up in due diligence?
30 minutes. No pitch. Just a real conversation about your audience, your ask and your deadline — and whether we're the right team to build the model that closes it.